Search 2013 Proceedings

Table of Contents All documents are in PDF format.

Copyright Page

Conference Leaders

SAS Global Users Group Executive Board

SAS Global Forum 2012 Paper Winners

Future Conferences



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Paper Sections
Applications Development Foundations and Fundamentals Quick Tips
Beyond the Basics Hands-on Workshops Reporting and Information Visualization
Business Intelligence Applications IT Management Retail
Customer Intelligence Operations Research SASŪ and Big Data
Data Management Pharma and Health Care SASŪ Enterprise GuideŪ Implementation and Usage
Data Mining and Text Analytics Planning and Support SASŪ Futures
Financial Services Poster and Video Presentations Statistics and Data Analysis
    Systems Architecture and Administration


Applications Development   (Download entire section)


Paper 001-2013:

 William Roehl, MarketShare

 

Floating on Cloud 9.3: Leveraging the Cloud with SASŪ and Google Drive

 

Paper 003-2013:

 Chris Hemedinger, SAS

 

Create Your Own Client Apps Using SASŪ Integration Technologies

 

Paper 004-2013:

 Stijn Vanderlooy, EDF Luminus

 

Fueling the Future of an Energy Company

 

Paper 005-2013:

 Art Carpenter, CA Occidental Consultants ; Mary Rosenbloom, Edwards Lifesciences, LLC

 

Macro Quoting to the Rescue: Passing Special Characters

 

Paper 007-2013:

 Charley Jiang, University of Michigan ; James Lepkowski, University of Michigan ; James Wagner, University of Michigan ; Richard Valliant, University of Michigan

 

Line-Sampling Macro for Multistage Sampling

 

Paper 008-2013:

 Michael Hecht, SAS

 

Tips and Techniques for Moving SASŪ Data to JMPŪ Graph Builder for iPadŪ

 

Paper 009-2013:

 Michael Weiss, Bayer Pharma AG

 

MACUMBA: Modern SASŪ GUI Debugging Made Easy

 

Paper 010-2013:

 William Benjamin, Owl Computer Consultancy LLC

 

Give the Power of SASŪ to Excel Users Without Making Them Write SAS Code

 

Paper 011-2013:

 Andrew Ratcliffe, RTSL.eu

 

Automated Testing of Your SASŪ Code and Collation of Results (Using Hash Tables)

 

Paper 012-2013:

 Xiyun (Cheryl) Wang, Statistics Canada

 

A Metadata-Driven Programming Technique Using SASŪ

 

Paper 013-2013:

 Eric Vandervort, Rho

 

Knowing When to Start, Where You Are, and How Far You Need to Go: Customized Software Tracks Project Workflow, Deliverables, and Communication

 

Paper 014-2013:

 Andrew Cathie, SAS ; Goutam Chakraborty, Oklahoma State University ; Satish Garla, SAS

 

Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding

 

Paper 015-2013:

 Dan O'Connor, SAS

 

Take Home the ODS Crown Jewels: Master the New Production Features of ODS LAYOUT and Report Writing Interface Techniques

 

Paper 016-2013:

 Robert Springborn, Office of Statewide Health Planning & Development

 

Set Yourself Free: Use ODS Report Writing Technology in SASŪ Enterprise GuideŪ Instead of Dynamic Data Exchange in PC SASŪ, Part II SAS Code Revealed

 

Paper 017-2013:

 Chevell Parker, SAS

 

The SASŪ Output Delivery System: Boldly Take Your Web Pages Where They Have Never Gone Before!

 

Paper 018-2013:

 Mike Maier, Oregon Department of Consumer and Business Services

 

Extraction, Transformation, and Loading (ETL) for Outcome Measures of Workers? Compensation Benefits

 

Paper 019-2013:

 Goutam Chakraborty, Oklahoma State University ; Pankush Kalgotra, Oklahoma State University ; Ramesh Sharda, Oklahoma State University

 

Predictive Modeling in Sports Leagues: An Application in the Indian Premier League

 

Paper 505-2013:

 Xiyun (Cheryl) Wang, Statistics Canada ; Yves Deguire, Statistics Canada

 

Using PROC FCMP in SASŪ System Development: Real Examples

 

Paper 539-2013:

 Mark Pallone, Intel Corporation

 

SASŪ Analytics Optimized with Intel Technologies

 

Beyond the Basics   (Download entire section)


Paper 020-2013:

 Matt Karafa, The Cleveland Clinic

 

Using the SASŪ Data Step to Generate HTML or Text-Based Mark-Up

 

Paper 021-2013:

 Joseph Hinson, MERCK

 

The Hash-of-Hashes as a "Russian Doll" Structure: An Example with XML Creation

 

Paper 022-2013:

 Brad Richardson, SAS

 

Optimize Your Delete

 

Paper 023-2013:

 Erik Tilanus, Synchrona

 

Using Mail Functionality in SASŪ

 

Paper 024-2013:

 Bill McNeill, SAS

 

The Ins and Outs of Web-Based Data with SASŪ

 

Paper 025-2013:

 Mickael Bouedo, SAS ; Steve Beatrous, SAS

 

Internationalization 101: Give Some International Flavor to Your SASŪ Applications

 

Paper 026-2013:

 Peter Eberhardt, Fernwood Consulting Group Inc ; Xiaojin Qin, Covance Pharmaceutical Research and Development CO., Ltd.

 

ISO 101: A SASŪ Guide to International Dating

 

Paper 027-2013:

 Christopher Boniface, U.S. Census Bureau ; Hung Pham, U.S. Census Bureau ; Nora Szeto, U.S. Census Bureau

 

Census Retires PROC COMPUTAB

 

Paper 028-2013:

 Ben Cochran, The Bedford Group

 

Be Prompt: Do it Now! Creating and Using Prompts in SASŪ Enterprise GuideŪ

 

Paper 029-2013:

 Art Carpenter, CA Occidental Consultants

 

"How Do I ...?" There Is More Than One Way to Solve That Problem; Why Continuing to Learn Is So Important

 

Paper 030-2013:

 Brian Varney, Experis Business Analytics

 

Inventory Your Files Using SASŪ

 

Paper 031-2013:

 Bruce Gilsen, Federal Reserve Board

 

This Is the Modern World: Simple, Overlooked SASŪ Enhancements

 

Paper 032-2013:

 Rick Langston, SAS

 

Submitting SASŪ Code on the Side

 

Paper 033-2013:

 Dylan Ellis, Mathematica Policy Research

 

RUN_MACRO Run! With PROC FCMP and the RUN_MACRO Function from SASŪ 9.2, Your SASŪ Programs Are All Grown Up

 

Paper 034-2013:

 Bruce Lund, Marketing Associates, LLC ; Steven Raimi, Magnify Analytic Solutions

 

A Flock of C-Stats, or Efficiently Computing Multiple Statistics for Hundreds of Variables

 

Paper 036-2013:

 Kevin McGowan, SAS

 

Big Data, Fast Processing Speeds

 

Paper 037-2013:

 David Corliss, Magnify Analytic Solutions

 

Maximizing the Power of Hash Tables

 

Paper 038-2013:

 Philip Holland, Holland Numerics Ltd

 

Creating Graph Collections with Consistent Colors Using ODS Graphics?

 

Paper 039-2013:

 Bari Lawhorn, SAS

 

Renovating Your SASŪ 9.3 ODS Output: Tools for Everything from Minor Remodeling to Extreme Makeovers

 

Paper 040-2013:

 Pete Lund, Looking Glass Analytics

 

Have it Your Way: Creating Reports with the DATA Step Report Writing Interface

 

Paper 041-2013:

 Tim Hunter, SAS

 

A First Look at the ODS Destination for PowerPoint

 

Paper 042-2013:

 Mitchell Weiss, Maguire Associates ; Scott Koval, Pinnacle Solutions, Inc.

 

Can You Create Another PowerPoint for Me? How to Use Base SASŪ and DDE to Automate Snappy PowerPoint Presentations

 

Paper 538-2013:

 Arthur Tabachneck, myQNA, Inc. ; Joe Whitehurst, High Impact Technologies ; Robert Virgile, Robert Virgile Associates, Inc. ; Xia Keshan, Chinese Financial electrical company

 

A Better Way to Flip (Transpose) a SASŪ Data Set

 

Business Intelligence Applications   (Download entire section)


Paper 043-2013:

 Angela Hall, SAS ; Tricia Aanderud, And Data Inc

 

Stop your 'Wine?-ing: Use a Stored Process!

 

Paper 044-2013:

 Matt Bogard, Western Kentucky University

 

A Data-Driven Analytic Strategy for Increasing Yield and Retention at Western Kentucky University Using SAS Enterprise BI and SASŪ Enterprise Miner?

 

Paper 045-2013:

 James Beaver, Farm Bureau Bank

 

Using SASŪ BI for Integrated Bank Reporting

 

Paper 046-2013:

 Michael Drutar, SAS

 

SASŪ Stored Processes Are Goin? Mobile!: Creating and Delivering Mobile-Enabled Versions of Stored Process Reports

 

Paper 047-2013:

 Stephen Overton, Overton Technologies LLC

 

Escape from Big Data Restrictions by Leveraging Advanced OLAP Cube Techniques

 

Paper 048-2013:

 Plinio Faria, Bradesco

 

How to Automate Security Filters for SASŪ OLAP Cubes Using Users Groups Information Available in SASŪ Management Console

 

Paper 049-2013:

 Alicia Betsinger, Office of Strategic Initiatives, UT System ; Annette Royal, The University of Texas System

 

From Factbook to Dashboard in T Minus No Time and Counting!

 

Paper 050-2013:

 Bharat Trivedi, SAS ; Christiana Lycan, SAS

 

Linking Strategy Data in BI Applications

 

Paper 051-2013:

 Malcolm Alexander, SAS ; Sam Atassi, SAS

 

Self-Service Data Management: Visual Data Builder

 

Paper 052-2013:

 David Shubert, SAS

 

Data Entry in SASŪ Strategy Management: A New, Better User (and Manager) Experience

 

Paper 053-2013:

 Murali Nori, SAS

 

How Mobile Changes the BI Experience

 

Paper 054-2013:

 Hong Jiang, Deloitte

 

Versatile Global Prompting for SASŪ Web Report Studio

 

Paper 055-2013:

 Bernt Dingstad, If Insurance

 

How to List All Users That Have Access to a SASŪ Information Delivery Portal 4.3 Page

 

Paper 056-2013:

 Guy Garrett, Achieve Intelligence ; Steve Morton, Applied System Knowledge Ltd

 

How Am I Driving - My Business? (Techniques, from the Insurance Industry That Can Be Applied to Other Business Areas to "Drive" Better Performance)

 

Paper 057-2013:

 Anand Chitale, SAS ; Christopher Redpath, SAS

 

Whirlwind Tour Around SASŪ Visual Analytics

 

Paper 058-2013:

 Nascif Abousalh-Neto, SAS

 

The Forest and the Trees: See It All with SASŪ Visual Analytics Explorer

 

Paper 059-2013:

 Rick Styll, SAS

 

Fast Dashboards Anywhere with SASŪ Visual Analytics

 

Paper 060-2013:

 Rick Styll, SAS

 

What?s New in SASŪ Enterprise Business Intelligence for SASŪ 9.3

 

Paper 061-2013:

 Scott Sams, SAS

 

SASŪ BI Dashboard: Interactive, Data-Driven Dashboard Applications Made Easy

 

Paper 062-2013:

 Keith Myers, SAS

 

Popular Tips and Tricks to Help You Use SASŪ Web Report Studio More Efficiently

 

Paper 063-2013:

 Don Chapman, SAS ; Greg Hodges, SAS ; James Holman, SAS ; Oita Coleman, SAS ; Stuart Nisbet, SAS ; Tammi Kay George, SAS

 

SASŪ Business Intelligence Development Roundtable: SAS Business Intelligence Solutions Portfolio and Future Focus

 

Paper 064-2013:

 Paul Cegielski, Greenplum

 

SASŪ High-Performance Analytics: Big Data Brought to Life on the EMC Greenplum Data Computing Appliance

 

Paper 488-2013:

 Andy Mendelsohn, Oracle Corporation ; Maureen Chew, Oracle Corporation ; Paul Kent, SAS ; Steven Holmes, Bureau of Labor Statistics

 

Big Data - Dream IT. Build IT. Realize IT.

 

Paper 489-2013:

 Gaurav Agrawal, Major Financial Company

 

Key Aspects to Implement A Perfect SASŪ BI Platform

 

Paper 541-2013:

 Justin Choy, SAS

 

Emerging Best Practices in the Age of Democratized Analytics

 

Customer Intelligence   (Download entire section)


Paper 065-2013:

 Amy Glassman, SAS ; Dave Gribbin, SAS

 

SASŪ Treatments: One to One Marketing with Customized Treatment Processes

 

Paper 066-2013:

 Lori Jordan, SAS ; Shawn Skillman, SAS

 

You?re Invited! Learn How SAS Uses SASŪ Software to Invite You to SASŪ Global Forum

 

Paper 067-2013:

 Brian Chick, SAS ; Mark Brown, SAS

 

Hot off the Press: SASŪ Marketing Automation 6.1

 

Paper 068-2013:

 Darius Baer, SAS ; Goutam Chakraborty, Oklahoma State University

 

Product Affinity Segmentation That Uses the Doughnut Clustering Approach

 

Paper 069-2013:

 Michael Soto, Ripley

 

Predicting Women's Department Purchases in a Retail Store By Using the SEMMA Methodology

 

Data Management   (Download entire section)


Paper 070-2013:

 Malcolm Alexander, SAS ; Nancy Rausch, SAS

 

What's New in SASŪ Data Management

 

Paper 071-2013:

 John Cunningham, Teradata ; MOMOLUE KIADII, TERADATA

 

Bigger Data Analytics: Using SASŪ on Aster Data and Hadoop

 

Paper 072-2013:

 John Bentley, Wells Fargo Bank

 

SAS-Oracle Options and Efficiency: What You Don't Know Can Hurt You

 

Paper 074-2013:

 Casper Pedersen, SAS Denmark

 

How to Do a Successful MDM Project in SAP Using SASŪ MDM Advanced

 

Paper 075-2013:

 Mahmoud Azimaee, Institute for Clinical Evaluative Sciences

 

Data Fitness: A SASŪ Macro-based Application for Data Quality of Large Health Administrative Data

 

Paper 076-2013:

 Greg Otto, Teradata Corporation ; Tom Weber, SAS

 

Adaptive In-Memory Analytics with Teradata: Extending Your Existing Data Warehouse to Enable SASŪ High-Performance Analytics

 

Paper 077-2013:

 Malcolm Alexander, SAS ; Nancy Rausch, SAS

 

Best Practices in SASŪ Data Management for Big Data

 

Paper 078-2013:

 John Heaton, Heritage Bank

 

SASŪ Data Integration Studio: The 30-Day Plan

 

Paper 079-2013:

 Charlotte Crain, SAS ; Mike Frost, SAS ; Scott Gidley, SAS

 

In-Database Data Quality: Performance for Big Data

 

Paper 080-2013:

 Jeff Bailey, SAS ; Tatyana Petrova, SAS

 

The SQL Tuning Checklist: Making Slow Database Queries a Thing of the Past

 

Paper 081-2013:

 Svein Erik Vralstad, Knowit Desicion Oslo AS

 

Need for Speed - Boost Performance in Data Processing with SAS/AccessŪ Interface to Oracle

 

Paper 082-2013:

 Arthur Li, City of Hope

 

Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing

 

Paper 083-2013:

 Claudia McCann, East Carolina University College of Nursing

 

Pulling Data from the Banner Operational Data Store with SASŪ Enterprise Guide: Not Only Fast but Fun!

 

Paper 084-2013:

 Nancy Rausch, SAS ; Scott Gidley, SAS

 

Best Practices in Enterprise Data Governance

 

Paper 540-2013:

 Chris Schacherer, Clinical Data Management Systems, LLC

 

SASŪ Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets

 

Data Mining and Text Analytics   (Download entire section)


Paper 085-2013:

 Chip Wells, SAS ; Justin Kauhl, Tata Consulting ; Timothy Rey, Dow Chemical Company

 

Using Data Mining in Forecasting Problems

 

Paper 086-2013:

 Jonathan Wexler, SAS ; Wayne Thompson, SAS

 

Time Is Precious, So Are Your Models: SASŪ Provides Solutions to Streamline Deployment

 

Paper 087-2013:

 Jonathan Wexler, SAS ; Karl Krycha, Teradata

 

Bringing Churn Modeling Straight to the Source: SASŪ and Teradata In-Database Model Development

 

Paper 088-2013:

 Cally Ong Yeru, Singapore Management University ; Michelle Cheong, Singapore Management University ; Murphy Choy, Singapore Management University

 

Demand Forecasting Using a Growth Model and Negative Binomial Regression Framework

 

Paper 089-2013:

 Leonard Gordon, University of Kentucky

 

Using Classification and Regression Trees (CART) in SASŪ Enterprise Miner? for Applications in Public Health

 

Paper 090-2013:

 Jian Li, Quality DepartmentïžShanghai General Motors Co.,Ltd ; Jiawen Zhang, Information System Department, Shanghai General Motors Co.,Ltd ; Minghua Pan, Quality DepartmentïžShanghai General Motors Co.,Ltd ; Nanxiang Gao, Quality DepartmentïžShanghai General Motors Co.,Ltd ; Shaozong Jiang, Information System Department,Shanghai General Motors Co.,Ltd ; Yahua Li, Information System Department,Shanghai General Motors Co.,Ltd ; Ying Wang, Shanghai General Motors Co.,Ltd ; Yu Zhang, Shanghai General Motors Co.,Ltd

 

Using the Power of SASŪ to Analyze and Solve Quality Problems at Shanghai General Motors

 

Paper 091-2013:

 Fagen Xie, Kaiser Permanente ; Lingxiao Qi, Kaiser Permanente

 

Information Retrieval in SASŪ: The Power of Combining Perl Regular Expressions and Hash Objects

 

Paper 092-2013:

 Michael O'Neil, Ministry of Social Development

 

Targeting Public Value in New Zealand

 

Paper 093-2013:

 Alejandro Correa Bahnsen, Luxembourg University ; Andres Gonzalez, Colpatria / Scotia Bank ; Darwin Amezquita, Colpatria-Scotia Bank

 

Using the Boosting Technique to Improve the Predictive Power of a Credit Risk Model

 

Paper 094-2013:

 Miguel Maldonado, SAS ; Naeem Siddiqi, SAS ; Susan Haller, SAS ; Wendy Czika, SAS

 

Creating Interval Target Scorecards with Credit Scoring for SASŪ Enterprise Miner?

 

Paper 095-2013:

 Alec Lin, PayPal, a division of eBay

 

Variable Reduction in SASŪ by Using Weight of Evidence and Information Value

 

Paper 096-2013:

 Laura Ryan, SAS ; Ruiwen Zhang, SAS ; Taiyeong Lee, SAS ; Xiangxiang Meng, SAS

 

Incremental Response Modeling Using SASŪ Enterprise Miner?

 

Paper 097-2013:

 Deybis Florez Hormiga, Colpatria Bank

 

Estimates of Personal Revenue from Credit and Sociodemographic Information Combining Decision Trees and Artificial Neural Networks (ANN)

 

Paper 098-2013:

 Stephanie Thompson, Datamum

 

Where Should I Dig? What to Do before Mining Your Data

 

Paper 099-2013:

 Jared Prins, Alberta Tourism, Parks and Recreation

 

Replacing Manual Coding of Customer Survey Comments with Text Mining: A Story of Discovery with Textual Data in the Public Sector

 

Paper 100-2013:

 Janardhana Punuru, SAS ; Lane Surratt, SAS ; Russell Albright, SAS

 

Relate, Retain, and Remodel: Creating and Using Context-Sensitive Linguistic Features in Text Mining Models

 

Paper 101-2013:

 Ken Potter, SAIC ; Robert Hatton, SAIC

 

Data Mining of U.S. Patents: Research Trends of Major Technology Companies

 

Paper 102-2013:

 Barry deVille, SAS ; Denise Bedford, Kent State University ; Richard La Valley, Strategic Technology Solutions

 

A Tale of Two SASŪ Technologies: Generating Maps of Topical Coverage and Linkages in SAS User Conference Papers

 

Paper 103-2013:

 Arila Barnes, SAS ; Jared Peterson, SAS ; Saratendu Sethi, SAS

 

Unleashing the Power of Unified Text Analytics to Categorize Call Center Data

 

Paper 104-2013:

 Chad Atkinson, Sinclair Community College

 

Deciphering Emoticons for Text Analytics: A Macro-Based Approach

 

Paper 105-2013:

 Aditya Misra, Nanyang Technological University ; Junyao Ji, SAS Institute ; Kam Tin Seong, Singapore Management University

 

Be Customer Wise or Otherwise: Combining Data Mining and Interactive Visual Analytics to Analyze Large and Complex Customer Resource Management (CRM) Data

 

Paper 500-2013:

 Goutam Chakraborty, Oklahoma State University ; Mantosh Kumar Sarkar, Oklahoma State University

 

Opinion Mining and Geo-positioning of Textual Feedback from Professional Drivers

 

Financial Services   (Download entire section)


Paper 106-2013:

 Boaz Galinson, LEUMI

 

How to Improve Your Risk-Adjusted Return on Capital: Pricing Optimization in Lending

 

Paper 107-2013:

 Scott Wilkins, SAS

 

n Ounce of Prevention Is Worth a Pound of Cure: How SASŪ Helps Prevent Financial Crime with an Analytical Approach to Customer Due Diligence

 

Paper 108-2013:

 Ryan Schmiedl, SAS

 

Next-Generation Detection Engine for Fraud and Compliance

 

Paper 110-2013:

 Cary Orange, SAS ; Donald Erdman, SAS ; Stacey Christian, SAS

 

Managing and Analyzing Financial Risk on Big Data with High-Performance Risk and Visual Analytics

 

Paper 111-2013:

 Carsten Heiliger, Sun Trust

 

A Case Study in Firmwide Stress Testing: Engineering the CCAR Process

 

Paper 112-2013:

 Jimmy Skoglund, SAS ; Wei Chen, SAS

 

Integrated Framework for Stress Testing in SASŪ

 

Paper 113-2013:

 Krutharth Kumar Peravalli Venkata Naga, Oklahoma State University ; Srikar Rayabaram, Oklahoma State University

 

Detecting Cross-Channel Fraud Using SASŪ

 

Foundations and Fundamentals   (Download entire section)


Paper 114-2013:

 Marje Fecht, Prowerk Consulting

 

Quick Hits: My Favorite SASŪ Tricks

 

Paper 115-2013:

 Donna Bennett, SAS ; Sandy Gibbs, SAS

 

Double-Clicking a SASŪ File: What Happens Next?

 

Paper 116-2013:

 Brian Bee, The Knowledge Warehouse Ltd

 

A Day in the Life of Data - Part 1

 

Paper 117-2013:

 Harry Droogendyk, Stratia Consulting Inc.

 

A Day in the Life of Data - Part 2

 

Paper 118-2013:

 Peter Crawford, Crawford Software Consultancy Limited

 

A Day in the Life of Data - Part 3

 

Paper 119-2013:

 Sanjay Matange, SAS

 

A Day in the Life of Data: Part 4 - Graphics and Reporting

 

Paper 120-2013:

 Cynthia Zender, SAS

 

Macro Basics for New SASŪ Users

 

Paper 121-2013:

 John Bentley, Wells Fargo Bank

 

Reading Data from Microsoft Word Documents: It's Easier Than You Might Think

 

Paper 122-2013:

 Lucheng Shao, University of California at Irvine

 

Do Not Let a Bad Date Ruin Your Day

 

Paper 123-2013:

 Michael Raithel, Westat

 

PROC DATASETS: The Swiss Army Knife of SASŪ Procedures

 

Paper 124-2013:

 Chris Schacherer, Clinical Data Management Systems, LLC

 

The SASŪ Programmer's Guide to XML and Web Services

 

Paper 125-2013:

 Arthur Li, City of Hope

 

Essentials of the Program Data Vector (PDV): Directing the Aim to Understanding the DATA Step

 

Paper 126-2013:

 Paul Dorfman, Dorfman Consulting

 

The Magnificent DO

 

Paper 127-2013:

 Lora Delwiche, Univeristy of California, Davis ; Susan Slaughter, Avocet Solutions

 

Errors, Warnings, and Notes (Oh My): A Practical Guide to Debugging SASŪ Programs

 

Paper 128-2013:

 Tim Berryhill, Wells Fargo

 

30 in 20 Things You May Not Know about SASŪ

 

Paper 129-2013:

 Andrew Henrick, SAS ; Donald Erdman, SAS ; Stacey Christian, SAS

 

Hashing in PROC FCMP to Enhance Your Productivity

 

Paper 131-2013:

 Jack Hamilton, Kaiser Foundation Hospitals

 

Creating ZIP Files with ODS

 

Paper 132-2013:

 Qinghua (Kathy) Chen, Gilead sciences Inc,

 

Three Easy Ways to Create Customized SASŪ Graphs

 

Paper 133-2013:

 John Shin, Medtronic Diabetes ; Yongyin Wang, Medtronic Diabetes

 

Creating Clark Error Grid with SAS/GRAPHŪ, the SAS/GRAPH Annotate Facility, and SASŪ Macro Applications

 

Paper 134-2013:

 Kathryn McLawhorn, SAS

 

Tips for Generating Percentages Using the SASŪ TABULATE Procedure

 

Paper 135-2013:

 Diane Olson, SAS

 

Developer Reveals: Extended Data Set Attributes

 

Paper 519-2013:

 Harry Droogendyk, Stratia Consulting Inc.

 

Arrays - Data Step Efficiency

 

Hands-on Workshops   (Download entire section)


Paper 136-2013:

 Peter Eberhardt, Fernwood Consulting Group Inc

 

The Armchair Quarterback: Writing SASŪ Code for the Perfect Pivot (Table, That Is)

 

Paper 137-2013:

 Mario Widel, Roche Molecular Systems ; Sandra Minjoe, Octagon Research Solutions

 

Adding New Rows in the ADaM Basic Data Structure: When and How

 

Paper 138-2013:

 Marje Fecht, Prowerk Consulting ; Rupinder Dhillon, Dhillon Consulting Inc

 

SASŪ Enterprise GuideŪ 5.1: A Powerful Environment for Programmers, Too!

 

Paper 139-2013:

 Art Carpenter, CA Occidental Consultants

 

Using PROC FCMP to the Fullest: Getting Started and Doing More

 

Paper 140-2013:

 Jennifer Waller, Georgia Health Sciences University

 

How to Use ARRAYs and DO Loops: Do I DO OVER or Do I DO i?

 

Paper 141-2013:

 Chuck Kincaid, Experis Business Intelligence and Analytics

 

Introduction to ODS Graphics

 

Paper 142-2013:

 Christianna Williams, Independent Consultant

 

A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data

 

Paper 143-2013:

 Vince DelGobbo, SAS

 

Some Techniques for Integrating SASŪ Output with Microsoft Excel Using Base SASŪ

 

Paper 144-2013:

 Rick Wicklin, SAS

 

Getting Started with the SAS/IMLŪ Language

 

Paper 145-2013:

 Andrew Kuligowski, HSN ; Charu Shankar, SAS Institute Toronto

 

Know Thy Data: Techniques for Data Exploration

 

Paper 146-2013:

 Kirk Paul Lafler, Software Intelligence Corporation

 

Hands-On SASŪ Macro Programming Tips and Techniques

 

Paper 147-2013:

 Art Carpenter, CA Occidental Consultants ; Don Henderson, Henderson Consulting Services

 

Taking Full Advantage of sasCommunity.org: Your SASŪ Site

 

Paper 148-2013:

 Angela Hall, SAS ; Tricia Aanderud, And Data Inc

 

Create Your First SASŪ Stored Process

 

Paper 149-2013:

 Daphne Ewing, Auxilium Pharmaceuticals, Inc. ; Ray Pass, PharmaNet/i3

 

So You're Still Not Using PROC REPORT. Why Not?

 

Paper 150-2013:

 Sunil Gupta, Gupta Programming

 

Ready to Become Really Productive Using PROC SQL?

 

Paper 151-2013:

 Stephanie Thompson, Datamum

 

FREQ Out: Exploring Your Data the Old-School Way

 

Paper 520-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Add-In for Microsoft Office 5.1

 

Paper 521-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: Creating SASŪ Stored Processes

 

Paper 522-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: SASŪ Data Integration Studio Basics

 

Paper 523-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: SASŪ Data Integration Studio Advanced

 

Paper 524-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Visual Analytics 6.1

 

Paper 525-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: DataFluxŪ Data Management Studio Basics

 

Paper 526-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Add-In for Microsoft Office 5.1

 

Paper 527-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Enterprise GuideŪ 5.1

 

Paper 528-2013:

 Christine Vitron, SAS

 

SASŪ Workshop: SASŪ Platform Administration

 

Paper 529-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Visual Analytics 6.1

 

Paper 530-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: Creating SASŪ Stored Processes

 

Paper 531-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Enterprise GuideŪ 5.1

 

Paper 532-2013:

 Eric Rossland, SAS

 

SASŪ Visual Analytics 6.1

 

Paper 533-2013:

 Christine Vitron, SAS

 

SASŪ Workshop: SASŪ Platform Administration

 

Paper 534-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: SASŪ Data Integration Studio Basics

 

Paper 535-2013:

 Eric Rossland, SAS

 

SASŪ Workshop: SASŪ Visual Analytics 6.1

 

Paper 536-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: SASŪ Data Integration Studio Advanced

 

Paper 537-2013:

 Kari Richardson, SAS

 

SASŪ Workshop: DataFluxŪ Data Management Studio Basics

 

IT Management   (Download entire section)


Paper 506-2013:

 Bill Ford, Vail Resorts ; Khaled Ghadban, Canada Post ; Richard Beaver, United Natural Foods, Inc

 

Manage Your Data as a Strategic Asset

 

Paper 507-2013:

 Gavin Day, SAS ; Mike Olson, Cloudera ; Paul Kent, SAS

 

Searching for Business Value in Big Data with Hadoop

 

Paper 508-2013:

 Gavin Day, SAS ; Mike Olson, Cloudera ; Paul Kent, SAS ; Pauline Nist, Intel

 

How IT Completes the Big Data Puzzle with Hadoop

 

Operations Research   (Download entire section)


Paper 152-2013:

 Augusto Voltes-Dorta, Universitat de Barcelona ; Hector Rodriguez-Deniz, University of Las Palmas de Gran Canaria ; Pere Suau-Sanchez, Cranfield University

 

Using SASŪ to Measure Airport Connectivity: An Analysis of Airport Centrality in the US Network with SAS/IMLŪ Studio

 

Paper 153-2013:

 Lindsey Puryear, SAS ; Stephen Sloan, Accenture

 

Advanced Project Management beyond Microsoft Project, Using PROC CPM, PROC GANTT, and Advanced Graphics

 

Paper 154-2013:

 Andrew Pease, SAS ; Ayesgul Peker, SAS

 

The Hospital Game: Optimizing Surgery Schedules to Save Resources, and to Save Lives

 

Paper 155-2013:

 Bahadir Aral, SAS ; Emily Lada, SAS ; Ginny Hevener, NC Sentencing & Policy Advisory Commission ; Jeff Day, SAS ; Tamara Flinchum, NC Sentencing & Policy Advisory Commission

 

Projecting Prison Populations with SASŪ Simulation Studio

 

Paper 156-2013:

 Arnie de Castro, SAS ; Greg Link, SAS

 

Smarter Grid Operations with SAS/ORŪ

 

Paper 157-2013:

 Christina Zhong, shanghai general motors

 

Vehicle Retail Forecasting Demand and Inventory Management Case Study at Shanghai General Motors

 

Paper 158-2013:

 Ed Hughes, SAS ; Tao Huang, SAS ; Yan Xu, SAS

 

Parallel Multistart Nonlinear Optimization with PROC OPTMODEL

 

Pharma and Health Care   (Download entire section)


Paper 160-2013:

 Sanjay Matange, SAS

 

Patient Profile Graphs Using SASŪ

 

Paper 161-2013:

 Alice Cheng, Chiltern Inc. ; Justina Flavin, self employed

 

Is the Legend in Your SAS/GraphŪ Output Still Telling the Right Story?

 

Paper 162-2013:

 Brenda Beaty, University of Colorado ; L. Miriam Dickinson, University of Colorado

 

Variance Partition: My Mission and Ambition Come to Fruition

 

Paper 163-2013:

 George Mu, IMS health Inc

 

Quantile Regression in Pharmaceutical Marketing Research

 

Paper 164-2013:

 Hui Fen Tan, Columbia University ; Raymond Gregory, New York City Health and Hospitals Corporation ; Ronald Low, New York City Health and Hospitals Corporation ; Shunsuke Ito, New York City Health and Hospitals Corporation ; Vann Dunn, New York City Health and Hospitals Corporation

 

Using PROC GENMOD to Investigate Drug Interactions: Beta Blockers and Beta Agonists and Their Effect on Hospital Admissions

 

Paper 165-2013:

 Michael Nash, Kaiser Permanente

 

Clinician Prescribing Feedback Site: Comparing Clinician Prescribing Habits and Providing Actionable Patient Lists

 

Paper 166-2013:

 Carrie Boorse, SAS ; Kathy Schaan, SAS ; Stuart Levine, SAS

 

Identifying and Addressing Post-Marketing Pharmaceutical Safety Surveillance and Spontaneous Reported Events

 

Paper 167-2013:

 Beinan Zhao, Palo Alto Medical Foundation Research Insitute ; Eric Wong, Palo Alto Medical Foundation Research Institute ; Latha Palaniappan, Palo Alto Medical Foundation

 

Estimating Patient Adherence to Medication with Electronic Health Records Data and Pharmacy Claims Combined

 

Paper 168-2013:

 Seth Traubenberg, Walgreen Co. ; Stacy Wang, Walgreens ; Zhongwen Huang, Walgreens

 

Measuring Medication Adherence with Simple Drug Use and Medication Switching

 

Paper 169-2013:

 Brian Sauer, SLC VA Medical Center ; Tao He, University of Utah

 

SASŪ Tools for Transparent and Reproducible Research: Medication History Estimator

 

Paper 170-2013:

 Albert Hopping, SAS ; Rick Monaco, SAS Institute ; Sarah Rittman, SAS ; Satish Garla, SAS

 

What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs

 

Paper 171-2013:

 Magnus Mengelbier, Limelogic

 

Moving to SASŪ Drug Development 4.2

 

Paper 172-2013:

 Dorothy Hung, Palo Alto Medical Foundation Research Institute ; Eric Wong, Palo Alto Medical Foundation Research Institute ; Lubna Qureshi, Palo Alto Medical Foundation Research Institute ; Pragati Kenkare, Palo Alto Medical Foundation Research Institute

 

Evaluating System-Wide Process Improvement in a Health-Care System: Data Through Analysis

 

Paper 173-2013:

 David Edwards, Amgen ; Greg Nelson, ThotWave Technologies, LLC.

 

Modern SASŪ Programming: Using SASŪ Grid Manager and SASŪ Enterprise GuideŪ in a Global Pharmaceutical Environment

 

Paper 174-2013:

 Amber Schmitz, Prime Therapeutics

 

Medical Versus Pharmacy Insurance: Which Is More Cost-Effective for Providing the Prescription? Solving the Problem Via SASŪ Enterprise GuideŪ.

 

Paper 175-2013:

 Sandra Brooks, Norton Healthcare ; Tina Hembree, Norton Healthcare ; Yehia Khalil, Norton Healthcare

 

Employee Wellness Programming Using SASŪ Enterprise GuideŪ

 

Paper 176-2013:

 Jiannan Hu, Vertex Pharmaceuticals, Inc. ; Mominul Islam, Vertex Pharmaceuticals ; Sanjiv Ramalingam, Vertex Pharmaceuticals Inc. ; Xiangchen Cui, Vertex Pharmaceuticals, Inc. ; Yanwei Han, Vertex

 

Easy Button: A Process for Generating Standardized Safety- and Non-Safety- Related Clinical Trial Reports

 

Paper 177-2013:

 Mario Widel, Roche Molecular Systems ; Sandra Minjoe, Octagon Research Solutions

 

Using the ADaM ADAE Structure for Non-AE Data

 

Paper 178-2013:

 David Scocca, Rho, Inc.

 

Developing Your SDTM Programming Toolkit

 

Paper 179-2013:

 Richard Zink, SAS

 

Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMPŪ

 

Paper 181-2013:

 Jenna Colavincenzo, University of Pittsburgh

 

Doctoring Your Clinical Trial with Adaptive Randomization: SASŪ Macros to Perform Adaptive Randomization

 

Paper 495-2013:

 Eric Elkin, ICON ; Ginny Lai, ICON Late Phase & Outcomes Research ; Monarch Shah, ICON Clinical Research

 

Automated and Customized Reports as a Single Image File Using Graph Template Language (GTL): A Case Study of Benchmarking Reports in Medical Research

 

Paper 496-2013:

 Greg Watson, UCLA Center for Health Policy Research

 

Predicting Health Care Expenditures with the MCMC Procedure

 

Paper 503-2013:

 Matthew Becker, inVentiv Health Clinical

 

To Infinity and Beyond: Current and Future State of Big Data and Analytics in Life Sciences

 

Planning and Support   (Download entire section)


Paper 182-2013:

 Christine Bonney, University of Pennsylvania ; Michael Keith, Jr., University of Pennsylvania

 

SASŪ Skill Learning and Certification Preparation in a Graduate School Setting

 

Paper 183-2013:

 Stefanie Reay, Qualex Consulting Services, Inc.

 

Considerations for Creating an In-House SASŪ User Group in a Geographically Disbursed Organization

 

Paper 184-2013:

 Kirsten Hamstra, SAS ; Shelly Goodin, SAS

 

Branding Yourself Online

 

Paper 185-2013:

 Peter Timusk, Statistics Canada

 

Coaching SASŪ Beginner Programmers: Common Problems and Some Solutions

 

Paper 186-2013:

 Bill Donovan, Ockham Source

 

A CareerView Mirror: Another Perspective on Your Work and Career Planning

 

Paper 187-2013:

 Steve Noga, Rho

 

Gotchas: Hidden Workplace and Career Traps to Avoid

 

Paper 188-2013:

 David Scocca, Rho, Inc.

 

Communicating Standards: A Code Review Experience

 

Paper 189-2013:

 Dianne Louise Rhodes, US Census Bureau

 

If You Have Programming Standards, Please Raise Your Hand: An Everyman's Guide

 

Paper 190-2013:

 Nate Derby, Stakana Analytics

 

Managing and Monitoring Statistical Models

 

Paper 191-2013:

 Andrew Howell, ANJ Group Pty Ltd

 

SASŪ Certification: Understand the Benefits of SAS Certification, Which SAS Certifications Are Available, and What SAS Certification Can Do for You

 

Paper 192-2013:

 Lisa Horwitz, SAS

 

The Successful SASŪ Shop: 10 Ideas, Suggestions, and Radical Notions

 

Paper 193-2013:

 William Zupko, U. S. Census Bureau

 

Creating an Interactive SASŪ E-Textbook with iBooks Author for the iPad

 

Poster and Video Presentations   (Download all section papers or Download all posters)


Paper 194-2013:

 Cynthia Loman, Genomic Health Inc

 

Create a Nomogram with SGPlot  View Paper  View Poster

 

Paper 195-2013:

 Abbas Tavakoli, University of South Carolina ; Erik Svendsen, University of tulane ; Jean Craig, MUSC ; Joan Culley, University of South Carolina

 

Using SAS to Create Code for Current Triage Systems during Chemical Incidents  View Paper  View Poster

 

Paper 196-2013:

 Julie Kezik, Yale University ; Melissa Hill, Yale University

 

SASŪ Essentials: Maximize the Efficiency of Your Most Basic Users  View Paper  View Poster

 

Paper 198-2013:

 Bob Lan, Everest Clinical Research Services, Inc. ; Regan Li, Hoffmann-La Roche Limited ; Sai Ma, pharmanet-i3 ; Suwen Li, Everest Clinical Research Services, Inc.

 

Using CALL SYMPUT to Generate Dynamic Columns in Reports  View Paper  View Poster

 

Paper 199-2013:

 Bob Lan, Everest Clinical Research Services, Inc. ; Regan Li, Hoffmann-La Roche Limited ; Sai Ma, pharmanet-i3 ; Suwen Li, Everest Clinical Research Services, Inc.

 

From SDTM to ADaM  View Paper  View Poster

 

Paper 200-2013:

 Charlie Shipp, Consider Consulting, Inc. ; Kirk Paul Lafler, Software Intelligence Corporation

 

Exploring the PROC SQL _METHOD Option  View Paper  View Poster

 

Paper 201-2013:

 Amos Shu, Endo Pharmaceuticals

 

A Practical Approach to Creating Define.XML by Using SDTM Specifications and Excel functions  View Paper  View Poster

 

Paper 203-2013:

 Shilpa Khambhati, Mathematca Policy Research Inc.

 

Extending the Power of Base SASŪ with Microsoft Excel  View Paper  View Poster

 

Paper 204-2013:

 Tricia Aanderud, And Data Inc

 

Using LinkedIn to Find Your Next SASŪ Job  View Video

 

Paper 205-2013:

 Angela Hall, SAS ; Tricia Aanderud, And Data Inc

 

Selection Group Prompts with SASŪ Stored Processes: More Power, Less Programming  View Video

 

Paper 206-2013:

 Amos Shu, Endo Pharmaceuticals

 

A Simple Macro to Minimize Data Set Size  View Paper  View Poster

 

Paper 207-2013:

 Hengrui Qu, Citi Group Inc. ; juan zhao, Citi Group Inc

 

Basel II Advanced IRB in Commercial Banking: Quantify the Borrower and Guarantor by Two-Step Scoring Model  View Paper  View Poster

 

Paper 208-2013:

 Amy Overby Wilkerson, RTI International ; Barbara Bibb, RTI International ; Brett Anderson, RTI International ; Mai Nguyen, RTI International

 

A Unique Approach to Create Custom Reports By Leveraging the Strengths of SASŪ and Excel  View Paper  View Poster

 

Paper 209-2013:

 David Izrael, Abt Associates

 

Working with a Large Pharmacy Database: Hash and Conquer.  View Paper  View Poster

 

Paper 210-2013:

 Louise Hadden, Abt Associates Inc.

 

With a Trace: Making Procedural Output and ODS Output Objects Work for You  View Paper  View Poster

 

Paper 211-2013:

 Louise Hadden, Abt Associates Inc. ; Terri Bright, MSPCA Boston

 

Analyzing the Safewalk Program with SASŪ: Saving Shelter Dogs One Walk at a Time  View Paper  View Poster

 

Paper 212-2013:

 Louise Hadden, Abt Associates Inc.

 

Behind the Scenes with SASŪ: Using Custom Graphics in SAS Output  View Paper  View Poster

 

Paper 213-2013:

 David Izrael, Abt Associates ; Michael Battaglia, Abt Associates Inc

 

Weighted Sequential Hot Deck Imputation: SASŪ Macro vs. the SUDAAN PROC HOTDECK  View Paper  View Poster

 

Paper 214-2013:

 Barbara Okerson, WellPoint

 

Creating ZIP Code-Level Maps with SASŪ  View Paper

 

Paper 215-2013:

 Michael Taitel, Walgreens ; Youbei Lou, Walgreens ; Zhongwen Huang, Walgreens

 

A Case Application of Propensity Score Matching in MTM Outcomes Evaluation at Retail Pharmacy  View Paper  View Poster

 

Paper 216-2013:

 David Landy, University of MIami Miller School of Medicine ; David Ludwig, University of Miami ; Joy Kurtz, Univ. of Miami ; Tracie Miller, University of Miami

 

Using SASŪ to Expand the Application of Standard Measures and Guide Statistical Explorations: Creating Healthy Eating Index Scores Using Nutrition Data System for Research Output  View Paper  View Poster

 

Paper 217-2013:

 Alan Silva, Universidade de Brasilia ; IGOR NASCIMENTO, UNB

 

A SASŪ Macro for Generating a Set of All Possible Samples with Unequal Probabilities without Replacement  View Paper  View Poster

 

Paper 218-2013:

 Meili Xu, Ohlone College

 

Here Is How We Do It: Teaching SASŪ at Community Colleges  View Paper  View Poster

 

Paper 220-2013:

 Yubo Gao, University of Iowa

 

Propensity Score-Based Analysis of Short-Term Complications in Patients with Lumbar Discectomy in the ACS-NSQIP Database  View Paper  View Poster

 

Paper 221-2013:

 Kirk Paul Lafler, Software Intelligence Corporation ; Lex Jansen, lexjansen.com ; Richard La Valley, Strategic Technology Solutions

 

Recovering SASŪ User Group Proceedings for the SASŪ Community  View Paper  View Poster

 

Paper 223-2013:

 Anh Kellermann, USF ; Jeanine Romano, University of South Florida ; Jeffrey Kromrey, University of South Florida ; Patrice Rasmussen, 5336 Clover Mist Drive ; Patricia Rodriguez de Gil, University of South Florida ; Thanh Pham, University of South Florida ; Yi-Hsin Chen, University of South Florida

 

GEN_ETA2: A SASŪ Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models  View Paper  View Poster

 

Paper 225-2013:

 Dongmin Shen, Merck & Co, Inc ; Miu Ling Lau, Merck & Co.

 

Linking Laboratory Data To Submission Documents Using SASŪ Technologies  View Paper  View Poster

 

Paper 226-2013:

 Lori Guido, US Census Bureau ; Stephen Moore, US Census Bureau

 

Presenting Business Cases That Contain Complex, Technical Information to a Varied Audience  View Paper  View Poster

 

Paper 228-2013:

 Aarti Bellara, University of South Florida ; Anh Kellermann, USF ; Diep Nguyen, University of South Florida ; Eun Sook Kim, University of South Florida ; Jeffrey Kromrey, University of South Florida ; Patricia Rodriguez de Gil, University of South Florida ; Yi-Hsin Chen, University of South Florida

 

Variance Heterogeneity and Non-Normality: How the SASŪ TTEST Procedure Can Keep Us Honest  View Paper  View Poster

 

Paper 229-2013:

 Rajbir Chadha, Cognizant Technology Solutions

 

Here Comes Your File! File-Watcher Tool with Automated SASŪ Program Trigger  View Paper  View Poster

 

Paper 230-2013:

 Peter Eberhardt, Fernwood Consulting Group Inc

 

Why the Bell Tolls 108 Times? Stepping through Time with SASŪ  View Paper  View Poster

 

Paper 231-2013:

 Pankaj Bhardwaj, Tata Consultancy Services

 

Implementing CDISC, SDTM, and ADaM in a SASŪ Environment  View Paper  View Poster

 

Paper 232-2013:

 Kathy Ball, SAS ; Mark Konya, Ameren Missouri

 

Weathering the Storm: Using Predictive Analytics to Minimize Utility Outages  View Paper  View Poster

 

Paper 233-2013:

 Jeffrey Kromrey, University of South Florida ; Patricia Rodriguez de Gil, University of South Florida

 

What Score Should Johnny Get? Missing_Items SASŪ Macro for Analyzing Missing Item Responses on Summative Scales  View Paper  View Poster

 

Paper 234-2013:

 Min Chen, Vertex Pharmaceuticals, Inc. ; Tathabbai Pakalapati, CYTEL INC. ; Xiangchen Cui, Vertex Pharmaceuticals, Inc.

 

A Preventive Approach for Automatic Checking of CDISC ADaM Metadata to Detect Noncompliance  View Poster

 

Paper 235-2013:

 Qunming Dong, Vertex ; Tathabbai Pakalapati, CYTEL INC. ; Xiangchen Cui, Vertex Pharmaceuticals, Inc.

 

Building Traceability for End Points in Analysis Data Sets Using SRCDOM, SRCVAR, and SRCSEQ Triplet  View Paper  View Poster

 

Paper 236-2013:

 Airaha Chelvakkanthan Manickam, Cognizant Technology Solutions ; Srikanth Thota, Cognizant Technology Solutions

 

SASŪ Admin's Best Friend - The Set-up and Usage of RTRACE Option  View Paper  View Poster

 

Paper 237-2013:

 Bhargav Achanta, Reata Pharmacueticals

 

SASŪ Stored Processes Logging  View Paper  View Poster

 

Paper 238-2013:

 Robert Mann, 33 Russell St ; Rosely Flam Zalcman, Center for Addiction and Mental Health

 

Creating a Management-Friendly HTML Report Using SASŪ ODS Markup, Style Sheets, and JavaScript  View Paper  View Poster  View Video

 

Paper 239-2013:

 Lihui Wang, SIngapore Management University ; Michelle Cheong, Singapore Management University ; Murphy Choy, Singapore Management University

 

Implementation of Slowly Changing Dimension to Data Warehouse to Manage Marketing Campaigns in Banks  View Paper

 

Paper 241-2013:

 Anil Kumar Pantangi, Oklahoma State University ; Goutam Chakraborty, Oklahoma State University ; Sahithi Ravuri, Oklahoma State University ; Siddhartha Reddy Mandati, Oklahoma State University

 

Feature Extraction and Rating of a Smartphone Photosharing Application Using SASŪ Sentiment Analysis Studio  View Paper  View Poster

 

Paper 243-2013:

 Kriss Harris, SAS Specialists

 

V is for Venn Diagrams  View Paper  View Poster  View Video

 

Paper 245-2013:

 Adolfo Lopez, Valence Helath

 

SASŪ Grid Job Submission and Monitoring from the SASŪ Information Delivery Portal  View Paper  View Poster

 

Paper 246-2013:

 Douglas Van Daele, University of Iowa Healthcare ; Gary Gaethe, U of Iowa ; Goutam Chakraborty, Oklahoma State University ; Jiawen Liu, Oklahoma State University ; Musthan Kader Ibrahim Meeran Mohideen, Oklahoma State University

 

Using Text Analysis to Gain Insight into Organizational Change  View Paper  View Poster

 

Paper 247-2013:

 Lisa Eckler, Lisa Eckler Consulting Inc.

 

So Many Films, So Little Time  View Paper  View Poster

 

Paper 248-2013:

 Christopher Battiston, Hospital For Sick Children

 

SASŪ ODS Graphics Designer - The Next Step in Amazing Data Visualization  View Paper  View Poster

 

Paper 250-2013:

 Goutam Chakraborty, Oklahoma State University ; Jiawen Liu, Oklahoma State University ; Mantosh Kumar Sarkar, Oklahoma State University

 

Feature-Based Sentiment Analysis on Android App Reviews Using SASŪ Text Miner and SASŪ Sentiment Analysis Studio  View Paper  View Poster

 

Paper 251-2013:

 Goutam Chakraborty, Oklahoma State University ; Jeffin Jacob, Student, Oklahoma State University ; Swati Grover, Student

 

Analysis of Change in Sentiments towards Chick-fil-A after Dan Cathy?s Statement about Same-Sex Marriage Using SASŪ Text Miner and SASŪ Sentiment Analysis Studio  View Paper  View Poster

 

Paper 252-2013:

 Chin Khian Yong, Universiti Tunku Abdul Rahman ; Song Lin Ng, Universiti Tunku Abdul Rahman

 

Analyzing Partially Confounded Factorial Conjoint Choice Experiments Using SAS/IMLŪ  View Paper  View Poster

 

Paper 253-2013:

 Delicia Carey, CDC ; Molly Dowling, CDC ; Robert Nelson, CDC

 

SAS Training for STD Grantees  View Paper  View Poster

 

Paper 254-2013:

 Goutam Chakraborty, Oklahoma State University ; Srikar Rayabaram, Oklahoma State University

 

A Comparison of Model Building via RPM in SASŪ Enterprise GuideŪ versus SASŪ Enterprise Miner?  View Paper  View Poster

 

Paper 255-2013:

 Bethany Bell, University of South Carolina ; Mihaela Ene, University of South Carolina ; Whitney Smiley, University of South Carolina

 

MIXED_FIT: A SASŪ Macro to Assess Model Fit and Adequacy for Two-Level Linear Models  View Paper  View Poster

 

Paper 256-2013:

 Chao Huang, Oklahoma State University ; Goutam Chakraborty, Oklahoma State University ; Yu Fu, Oklahoma State University

 

Optimize SAS/IMLŪ Software Codes for Big Data Simulation  View Paper  View Poster

 

Paper 257-2013:

 Chao Huang, Oklahoma State University ; Yu Fu, Oklahoma State University

 

Top 10 Most Powerful Functions for PROC SQL  View Paper  View Video

 

Paper 258-2013:

 Musthan Kader Ibrahim Meeran Mohideen, Oklahoma State University ; Srikar Rayabaram, Oklahoma State University ; Srinivas Reddy Busi Reddy, Oklahoma State University

 

Data Set Compression Using COMPRESS=  View Paper  View Poster

 

Paper 259-2013:

 Elizabeth Eubanks, RTI International ; Helen Smith, RTI International ; Mai Nguyen, RTI International ; Shane Trahan, RTI International

 

An Integrated Approach to Codebook Generation Using SASŪ, HTML/CSS, and the .NET Framework  View Paper  View Poster

 

Paper 261-2013:

 Goutam Chakraborty, Oklahoma State University ; Hari harasudhan Duraidhayalu, Kavi Associates ; Srihari Nagarajan, SAS Institute

 

Investigating the Impact of Amazon Kindle Fire HD 7? on Amazon.com Consumers Using SASŪ Text Miner and SASŪ Sentiment Analysis  View Paper  View Poster

 

Paper 262-2013:

 Ramya Purushothaman, Cognizant Technology Solutions

 

Practical Application of SASŪ Capabilities for Pharma Goals and Performance Review  View Paper  View Poster

 

Paper 263-2013:

 Anurag Srivastava, Decision Quotient ; Pranav Karnavat, Shanti Communication School

 

Do People Still Miss Steve Jobs As the CEO of Apple Inc.? A Text Mining Approach: Comparing SASŪ and R  View Paper  View Poster

 

Paper 264-2013:

 Dongsheng Yang, Cleveland Clinic

 

Build Prognostic Nomograms for Risk Assessment Using SASŪ  View Paper  View Poster

 

Paper 265-2013:

 Roger Muller, Data-To-Events.Com

 

SASŪ Enterprise GuideŪ: Implementation Hints and Techniques for Insuring Success with Traditional SAS Programmers  View Paper

 

Paper 266-2013:

 Deovrat Kakde, Kavi Associates ; Vijitha Kaduwela, Kavi Associates

 

Repairable Systems?No Longer the Stepchild of Reliability!!! Repairable System Reliability Modeling Using PROC RELIABILITY in SAS/QCŪ 9.3  View Paper  View Poster

 

Paper 267-2013:

 Goutam Chakraborty, Oklahoma State University ; Miriam McGaugh, Oklahoma State University ; Shirmeen Virji, Oklahoma State University ; Yu Fu, Oklahoma State University

 

Getting an Overview of SASŪ Data in Three Steps  View Paper  View Poster

 

Paper 268-2013:

 Deovrat Kakde, Kavi Associates ; Neetha Sindhu, Kavi Associates ; Saurabh Ghanekar, Kavi Associates

 

Life's a Song! Mining Country Music Topics Using SASŪ Text Miner  View Paper  View Poster

 

Paper 269-2013:

 Jonghyun Kim, Texas Tech University ; Tianxi Dong, Rawls College of Business Administration, Texas Tech University ; Zhangxi Lin, The Rawls College of Business Administration, Texas Tech University

 

Predicting Application Review Rating with SASŪ Text Miner  View Paper  View Poster

 

Paper 271-2013:

 Hari harasudhan Duraidhayalu, Kavi Associates ; Rajesh Inbasekaran, Kavi Associates

 

Predict the Delay in Your Airline Before They Do!  View Paper  View Poster

 

Paper 272-2013:

 David Thompson, OUHSC College of Public Health ; Jessica Hale, University of Oklahoma ; Paul Darden, OUHSC

 

Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD  View Paper  View Poster

 

Paper 273-2013:

 Martin Lesser, Feinstein Institute for Medical Research-Biostatistics ; Meredith Akerman, Feinstein Institute for Medical Research Biostatistics

 

An Exploratory Graphical Method for Identifying Associations in Sparse r x c Contingency Tables  View Paper  View Poster

 

Paper 274-2013:

 Roger Muller, Data-To-Events.Com

 

SASŪ Enterprise GuideŪ: What's in It for the Long-Term Highly Experienced SASŪ Programmer  View Paper

 

Paper 275-2013:

 Baojian Guo, Fedex ; Sheng Ding, Fedex

 

An Improved Data Visualization Approach for Monitoring and Analyzing Business Performance Using SAS/QCŪ Control Chart and SAS/GRAPHŪ Annotate Techniques  View Paper  View Poster

 

Paper 276-2013:

 Elisa Priest, UNT HSC SPH

 

10 SASŪ Skills for Grad Student Survival: A Grad Student ?How-To? Paper  View Paper  View Poster

 

Paper 277-2013:

 Christine John, AdvanceMed, an NCI Company ; Mariya Karimova, AdvanceMed, an NCI Company

 

Speed it Up: Using SASŪ to Automate Initial Discovery Practices  View Paper  View Poster

 

Paper 279-2013:

 Harshal Darade, Texas Tech University ; Siming Li, Southwestern university of finance and economics ; Zhangxi Lin, The Rawls College of Business Administration, Texas Tech University

 

Performance Predictability By Using Social Profile in Online P2P Lending Market  View Paper  View Poster

 

Paper 280-2013:

 Alan Elliott, UT Southwestern ; Linda Hynan, University of Texas Southwestern Medical Center

 

Dashing out a Quick Dashboard of Graphs in SASŪ  View Paper  View Poster

 

Paper 281-2013:

 Elizabeth Leslie, Kennesaw State University

 

Adolescent Smoking and Development of Long-Term Habits: A Longitudinal Analysis in SASŪ  View Paper  View Poster

 

Paper 283-2013:

 Lisa Lix, University of Manitoba ; Xue Yao, University of Manitoba

 

A Flexible Method to Apply Multiple Imputation Using SAS/IMLŪ Studio  View Paper  View Poster

 

Paper 285-2013:

 Eric Day, University of Oklahoma ; Matthew Schuelke, Air Force Research Laboratory ; Robert Terry, University of Oklahoma

 

Growth Spline Modeling  View Paper  View Poster

 

Paper 286-2013:

 Ted Conway, Self

 

Gee! No, GTL! Visualizing Data With The SAS Graph Template Language  View Paper  View Poster

 

Paper 287-2013:

 Yi-Fang Wu, Iowa Testing Programs, University of Iowa

 

Utilizing SASŪ for the Construction of Preassembled Parallel, Computerized Fixed-Test Forms under Item Response Theory Framework  View Paper  View Poster

 

Paper 288-2013:

 Sreedevi Thiyagarajan, Stanford University

 

A SASŪ Macro Application for Efficient Interrupted Time Series (ITS) Analysis Using Segmented Regression  View Paper  View Poster

 

Paper 289-2013:

 Heli Ghandehari, Baxter BioScience ; Victor Lopez, Baxter Healthcare Corporation

 

Using PROC FORMAT and Other Little Tweaks to Enable PROC TABULATE?s Hidden Capabilities of Optimizing Statistical Reporting  View Paper  View Poster

 

Paper 291-2013:

 Tawney Moreno-Simon, Centers for Medicare & Medicaid Services (CMS) ; Vivek Seth, Computer Sciences Corporation - CSC

 

Making it Happen: A Novel Way to Construct, Customize and Implement Your SASŪ Enterprise BI User Enablement Framework  View Paper  View Poster

 

Paper 498-2013:

 Goutam Chakraborty, Oklahoma State University ; Shreya Sadhukhan, Oklahoma State University ; Taufique Ansari, Oklahoma state university

 

Application of Text Mining in Tweets to Analyze General Opinion about ?Bing It On? Challenge by Microsoft  View Paper  View Poster

 

Paper 499-2013:

 Goutam Chakraborty, Oklahoma State University ; Shirmeen Virji, Oklahoma State University ; Yu Fu, Oklahoma State University

 

Impact of London Olympics According to Tweeters  View Paper  View Poster

 

Quick Tips   (Download entire section)


Paper 292-2013:

 Erik Tilanus, Synchrona

 

Automating the Flow of Presentations in Coder's Corner or Quick Tips

 

Paper 293-2013:

 Toby Hill, Charles Marcus Group Services

 

Implementing Metadata-driven Reports with SASŪ Stored Processes

 

Paper 294-2013:

 Leonard Polak, Wells Fargo Technology and Operations Group

 

Time Series Data: Anatomy of an ETL Project

 

Paper 295-2013:

 Russell Hendel, Centers for Medicare and Medicaid Services

 

CLISTS: Improve Efficiency of TSO Applications Using Mainframe SASŪ

 

Paper 296-2013:

 Kyong Jin Shim, Singapore Management University ; Murphy Choy, Singapore Management University

 

Efficient Extraction of JSON Information in SASŪ Using the SCANOVER Function

 

Paper 297-2013:

 Hans Sempel, Belastingdienst (Dutch Tax and Customs Administration)

 

Back Up Your Sources During Development: A Stack of Base SASŪ Scripts

 

Paper 298-2013:

 Lisa Eckler, Lisa Eckler Consulting Inc.

 

FCMP -- Why?

 

Paper 299-2013:

 Ronald Fehd, retired

 

Data Review Information: N-Levels or Cardinality Ratio

 

Paper 300-2013:

 Roberto Valverde, NCHS ; Victor Shigaev, CDC

 

Healthcare Claims Processing with Base SASŪ through Denormalization of ANSI 837 Format

 

Paper 301-2013:

 Jingxian Zhang, Quintiles

 

Building SASŪ Programs from Dynamically Retrieved Files by Filename Pipe Command

 

Paper 302-2013:

 Sunil Gupta, Gupta Programming

 

Something for Nothing? Adding Group Descriptive Statistics Using PROC SQL Subqueries

 

Paper 304-2013:

 Romain Miralles, Genomic Health

 

Running SASŪ Programs Using Skype

 

Paper 306-2013:

 Jennifer Davies, Z, Inc

 

Accessing SASŪ Code via Visual Basic for Applications

 

Paper 307-2013:

 Stanley Fogleman, HARVARD CLINICAL RESEARCH INSTITUTE

 

OUT= Is on the Way Out - Use ODS OUTPUT Instead

 

Paper 308-2013:

 Amos Shu, Endo Pharmaceuticals

 

A Simple Approach to Generate Page Numbers in X of Y Format in ODS RTF Output

 

Paper 309-2013:

 Karena Kong, InterMune

 

Graph Your SASŪ Off

 

Paper 310-2013:

 Goutam Chakraborty, Oklahoma State University ; Miriam McGaugh, Oklahoma State University ; Shirmeen Virji, Oklahoma State University ; Yu Fu, Oklahoma State University

 

Adding Graph Visualization on SASŪ ODS Output

 

Paper 311-2013:

 Ramya Purushothaman, Cognizant Technology Solutions

 

"How May I Help?" The SASŪ Enterprise GuideŪ Analyze Program Feature

 

Paper 312-2013:

 Kevin Chung, Fannie Mae

 

Some Useful Utilities on UNIX Platform

 

Paper 313-2013:

 Sarwanjeet Singh, Gerard Groups Inc. ; Shiva Kalidindi, Amgen

 

PC and UNIX SASŪ Reunited

 

Paper 314-2013:

 Christopher Boniface, U.S. Census Bureau ; Hung Pham, U.S. Census Bureau ; Nora Szeto, U.S. Census Bureau

 

SASŪ Code to Make Excel Files Section 508 Compliant

 

Paper 315-2013:

 Larry Hoyle, IPSR, University of Kansas

 

Reading an Excel Spreadsheet with Cells Containing Line Endings

 

Paper 316-2013:

 Colleen McGahan, BC Cancer Agency ; Nate Derby, Stakana Analytics

 

Maintaining Formats When Exporting Data from SASŪ into Microsoft Excel

 

Paper 318-2013:

 Douglas Liming, SAS

 

Don?t Let the Number of Columns Hold You Back!

 

Paper 319-2013:

 Sau Yiu, Kaiser Permanente

 

Reordering Columns after PROC TRANSPOSE (or Anytime You Want, Really)

 

Paper 320-2013:

 Wuong Jodi Auyuen, Blue Cross Blue Shield Minnesota

 

Reporting Tips for No Observations

 

Paper 321-2013:

 James R Brown, Havi Global Solutions

 

Wide-to-Tall: A Macro to Automatically Transpose Wide SASŪ Data into Tall SAS Data

 

Paper 322-2013:

 William Murphy, Howard M Proskin & Assoc, Inc

 

What's in a SASŪ Variable? Get Answers with a V!

 

Paper 323-2013:

 Chris Greni, Kaiser Permanente ; Deepa Sarkar, Kaiser Permanente ; Jason Yang, Kaiser Permanente ; Mythili Rajamani, Kaiser Permanente

 

Quick and Easy Techniques for Fast Data Extraction

 

Paper 324-2013:

 Christopher Bost, MDRC

 

Dealing with Duplicates

 

Paper 325-2013:

 Bruce Gilsen, Federal Reserve Board

 

Not Dividing by Zero: The Last of the Low-Hanging Efficiency Fruit

 

Paper 327-2013:

 Thomas Billings, Union Bank

 

An Overview of Syntax Check Mode and Why It Is Important

 

Paper 328-2013:

 Kamya Khanna, ICF International ; Wen Song, ICF International

 

Converting Thousands of Variables from Character to Numeric: The One-Hour Fix

 

Paper 329-2013:

 Rebecca Ottesen, City of Hope and Cal Poly State University, San Luis Obispo

 

Resources for Getting the 2010 US Census Summary Files into SASŪ

 

Paper 330-2013:

 William Benjamin, Owl Computer Consultancy LLC

 

Array, Hurray, Array: Consolidate or Expand Your Input Data Stream Using Arrays

 

Paper 331-2013:

 George Hurley, The Hershey Company

 

10-Minute JMPŪ

 

Paper 332-2013:

 Elizabeth Axelrod, Abt Associates Inc.

 

Cool Views

 

Paper 333-2013:

 Julie Kilburn, City of Hope ; Rebecca Ottesen, City of Hope and Cal Poly State University, San Luis Obispo

 

Nifty Tips For Data Change Tracking

 

Paper 334-2013:

 Jason Wachsmuth, Pearson

 

Programs? How to Process Your Inputs Faster

 

Paper 335-2013:

 Christopher Bost, MDRC

 

Checking Out Your Dates with SASŪ

 

Paper 336-2013:

 Patrick Kelly, BlueCross BlueShield of Tennnessee ; Randall Deaton, BlueCross BlueShield of Tennessee

 

We All Have Bad Dates Once in a While...

 

Paper 339-2013:

 Rick Langston, SAS

 

A Macro to Verify a Macro Exists

 

Paper 340-2013:

 Rajbir Chadha, Cognizant Technology Solutions

 

You?ve Got SASMAIL! A Simple SASŪ Macro for Sending e-Mails

 

Paper 342-2013:

 Ganesh Badisa, Oklahoma State University ; Goutam Chakraborty, Oklahoma State University ; Siddhartha Reddy Mandati, Oklahoma State University

 

%GetReviews: A SASŪ Macro to Retrieve User Reviews in JSON Format from Review Websites and Create SASŪ Data Sets

 

Paper 343-2013:

 Ronald Fehd, retired

 

Writing Macro Do Loops with Dates from Then to Now

 

Paper 344-2013:

 Sijian Zhang, VA Pittsburgh Healthcar System

 

A Macro to Read in Medi-Span Text Format Database by Data Dictionary

 

Paper 346-2013:

 Aude Pujula, Louisiana State University ; David Maradiaga, Louisiana State University

 

Using SASŪ to Assess Individuals? Best Performance in Multiple Dimensions

 

Paper 348-2013:

 Chelsea Lofland, University of California, Santa Cruz ; Rebecca Ottesen, City of Hope and Cal Poly State University, San Luis Obispo

 

The SASŪ Versus R Debate in Industry and Academia

 

Paper 349-2013:

 Heli Ghandehari, Baxter BioScience ; Victor Lopez, Baxter Healthcare Corporation

 

Using SASŪ to Dynamically Generate SASŪ Code in Order to Display Both Variable Label and Name as Column Header in PROC REPORT and PROC PRINT

 

Paper 350-2013:

 Kirk Paul Lafler, Software Intelligence Corporation ; Mary Rosenbloom, Edwards Lifesciences, LLC

 

Best Practices: PUT More Errors and Warnings in My Log, Please!

 

Paper 351-2013:

 Rachel Carlson, Mayo Clinic ; Ruchi Sharma, Mayo Clinic

 

The Surprisingly "Sym"ple Alternative to Hardcoding

 

Paper 352-2013:

 Andrew Clapson, Statistics Canada ; Valerie Hastings, Statistics Canada

 

On a First-Name Basis with SAS: Creating Personalized Error Messages Using SAS 9.2

 

Paper 353-2013:

 Prashanthi Selvakumar, UNT Health Science Center

 

SASY Codes for Lazy people

 

Paper 517-2013:

 Arthur Tabachneck, myQNA, Inc. ; Joe Whitehurst, High Impact Technologies ; Robert Virgile, Robert Virgile Associates, Inc. ; Xia Keshan, Chinese Financial electrical company

 

Increase Your Productivity by Doing Less

 

Reporting and Information Visualization   (Download entire section)


Paper 354-2013:

 Anastasiya Osborne, Farm Service Agency

 

Virginia's Best: How to Annotate County Names and Values on a State Map

 

Paper 355-2013:

 Azhar Nizam, Emory University ; Neeta Shenvi, Emory University ; Xin Zhang, Emory University

 

Data Merging and Visualization to Identify Associations Between Environmental Factors and Disease Outbreaks

 

Paper 356-2013:

 Greg Pole, Statistics Centre Abu Dhabi

 

SCAD: Development of Statistical Information Systems for the Provision of Census Data

 

Paper 357-2013:

 Charlie Liu, Allergan, Inc.

 

Introducing and Producing Thunderstorm or Rain-drop Scatter Plots Using the SAS/GRAPHŪ Annotate Facility

 

Paper 358-2013:

 Audra Zakzeski, USDA NASS ; Robert Seffrin, US Dept. of Agriculture

 

An Innovative Approach to Integrating SASŪ Macros with GIS Software Products to Produce County-Level Accuracy Assessments.

 

Paper 359-2013:

 Christopher Battiston, Hospital For Sick Children

 

How to Become a GTL/PROC Template Jedi

 

Paper 360-2013:

 Patrick Thornton, SRI International

 

A Concise Display of Multiple Response Items

 

Paper 361-2013:

 Sanjay Matange, SAS

 

Make a Good Graph

 

Paper 363-2013:

 Christopher Battiston, Hospital For Sick Children

 

A Beginner's Introduction to an Idiot's Guide to PROC TEMPLATE and GTL for Dummies

 

Paper 364-2013:

 Andrew Hummel, Delta Air Lines ; Robert Goldman, Delta Air Lines

 

Creating a Useful Operational Report

 

Paper 365-2013:

 Kevin Smith, SAS

 

Cascading Style Sheets: Breaking Out of the Box of ODS Styles

 

Paper 366-2013:

 Allison Booth, SAS ; Cynthia Zender, SAS

 

Turn Your Plain Report into a Painted Report Using ODS Styles

 

Paper 367-2013:

 Barbara Okerson, WellPoint

 

Do SASŪ users read books? Using SAS graphics to enhance survey research

 

Paper 368-2013:

 David Kelley, SAS ; Ed Summers, SAS ; Julianna Langston, SAS

 

Go Mobile with the ODS EPUB Destination

 

Paper 369-2013:

 Helen Smith, RTI International ; Susan Myers, RTI International

 

Using Design Principles to Make ODS Template Decisions

 

Paper 371-2013:

 Prashant Hebbar, SAS ; Sanjay Matange, SAS

 

Free Expressions and Other GTL Tips

 

Paper 372-2013:

 Atul Kachare, SAS

 

Analysis and Visualization of E-mail Communication Using Graph Template Language

 

Paper 373-2013:

 Andrew Ratcliffe, RTSL.eu

 

Visual Techniques for Problem Solving and Debugging

 

Paper 375-2013:

 Azhar Nizam, Emory University ; Neeta Shenvi, Emory University ; Xin Zhang, Emory University

 

Extended SASŪ GIFANIM Device Usage on Table Reporting and Template-Based Graphics

 

Paper 376-2013:

 Amanda Lin, Bell Canada ; Justin Jia, CIBC

 

Horizontal Data Sorting and Insightful Reporting: A Useful SASŪ Technique

 

Paper 377-2013:

 Darrell Massengill, SAS

 

?Google-Like? Maps in SASŪ

 

Paper 378-2013:

 Koketso Moeng, Statistics South Africa

 

Extending SASŪ Reports to Your iPhone

 

Paper 379-2013:

 Raymond Ebben, OCS Consulting

 

The Dynamic Cube Viewer - OLAP Made Easy

 

Paper 380-2013:

 Wei Cheng, Isis Pharmaceuticals, Inc.

 

Statistical Graphics for Clinical Research Using ODS Graphics Designer

 

Paper 381-2013:

 Frank Poppe, PW Consulting ; Sjoerd Boogaard, Kiwa Prismant

 

Visualize Your OLAP Cubes on a Map through a Stored Process

 

Paper 382-2013:

 Lelia McConnell, SAS

 

GTL to the Rescue!

 

Paper 518-2013:

 Jugdish Mistry, J2L Limited

 

SAS Metadata Reporting: Extracting Invaluable Information from SASŪ Metadata

 

Retail   (Download entire section)


Paper 383-2013:

 Allan Beaver, Sobeys ; Margaret Pelan, Hudson Bay Company ; Nancy Templeton, Belk ; Scott Sanders, Sears

 

Who Said Change Was Easy

 

Paper 385-2013:

 Brenda Carr, Hudson Bay Company Canada

 

Revenue Optimization: How Do You Price?

 

Paper 386-2013:

 Saurabh Gupta, SAS

 

SASŪ Retail Road Map

 

Paper 387-2013:

 Lori Schafer, SAS

 

Retailing in the Era of Tech Titans

 

Paper 388-2013:

 Ashok Setty, Sobeys Inc. ; Wanda Shive, SAS

 

Sobeys and SAS - How Do You Talk to Your Customer?

 

Paper 389-2013:

 Frank Nauta, SAS

 

SASŪ Visual Analytics and Mobile Reporting

 

Paper 390-2013:

 Amy Clouse, Dick's Sporting Goods

 

Roundtable Discussion: SASŪ Integrated Merchandise Planning

 

Paper 392-2013:

 Trina Gladwell, Bealls Outlett Stores ; Pay Meyer, Bealls, Inc ; Claire Shanahan, Belk

 

Location Planning: A Look into Location Planning - Best Practices for Resolving

 

Paper 393-2013:

 Scott Sanders, Sears ; Amy Clouse, Dick's Sporting Goods

 

Implementing Assortment Planning and the challenge of User Adoption

 

Paper 394-2013:

 Amy Clouse, Dick's Sporting Goods

 

Reclass: What Does It Mean to You!

 

Paper 395-2013:

 Nancy Templeton, Belk

 

Forecasting to Support Planning

 

SAS and Big Data   (Download entire section)


Paper 399-2013:

 Priya Sharma, SAS

 

Leveraging Big Data Using SASŪ High-Performance Analytics Server

 

Paper 400-2013:

 Alicia Bieringer, SAS ; James Cox, SAS ; Russell Albright, SAS ; Zheng Zhao, SAS

 

Big Data Meets Text Mining

 

Paper 401-2013:

 Bob Rodriguez, SAS ; Robert Cohen, SAS

 

High Performance Statistical Modeling

 

Paper 402-2013:

 Paul Kent, SAS

 

SASŪ and Hadoop: The BIG Picture

 

Paper 403-2013:

 Dan Zaratsian, SAS ; Justin Plumley, SAS ; Mary Osborne, SAS

 

Uncovering Patterns in Textual Data with SASŪ Visual Analytics and SAS Text Analytics

 

Paper 513-2013:

 Greg Hodges, SAS

 

SASŪ Visual Analytics Road Map

 

Paper 515-2013:

 Gary Mehler, SAS ; Meera Venkataramani, SAS

 

Getting Started with SASŪ Visual Analytics Administration and Deployment

 

SASŪ Enterprise GuideŪ Implementation and Usage   (Download entire section)


Paper 404-2013:

 Amber Schmitz, Prime Therapeutics

 

Consistent and Organized Analysis: Moving Beyond Pie-in-the-Sky to Actual Implementation via SASŪ Enterprise GuideŪ

 

Paper 405-2013:

 Chris Schacherer, Clinical Data Management Systems, LLC

 

The Concepts and Practice of Analysis with SASŪ Enterprise GuideŪ

 

Paper 406-2013:

 Haibo Jiang, Allergan, Inc.

 

Using SASŪ Enterprise GuideŪ: A System Administrator?s Perspective

 

Paper 407-2013:

 Scott Leslie, MedImpact Healthcaree Systems, Inc.

 

Statistical Analyses Using SASŪ Enterprise GuideŪ

 

Paper 408-2013:

 Aaron Hill, MDRC

 

Destination Known: Programmatically Controlling Your Output in SASŪ Enterprise GuideŪ

 

Paper 409-2013:

 Anand Chitale, SAS ; I-kong Fu, SAS ; Lina Clover, SAS

 

A tour of new features in SAS Enterprise Guide 4.3, 5.1, and 6.1

 

Paper 410-2013:

 Tricia Aanderud, And Data Inc

 

SASŪ Enterprise GuideŪ: More Than a Gift from Outer Space

 

Paper 411-2013:

 FENG LIU, Genworth Financial ; Ruiwen Zhang, SAS

 

Using VBA to Debug and Run SASŪ Programs Interactively, Run Batch Jobs, Automate Output, and Build Applications

 

Paper 412-2013:

 Chris Hemedinger, SAS

 

For All the Hats You Wear: SASŪ Enterprise GuideŪ Has Got You Covered

 

Paper 413-2013:

 Airaha Chelvakkanthan Manickam, Cognizant Technology Solutions ; Ramya Purushothaman, Cognizant Technology Solutions

 

Finally, a Tool for Business Users! A Step-By-Step Practical Approach to Pharma Sales Reporting Using SASŪ Enterprise GuideŪ 4.3

 

Paper 414-2013:

 Thomas Kunselman, Southern California Edison

 

Stealing the Admin's Thunder: SASŪ Macros to Interact with the UNIX OS from within SASŪ Enterprise GuideŪ

 

Paper 415-2013:

 Jennifer Bjurstrom, SAS

 

Improving Your Relationship with SASŪ Enterprise Guide: Tips from SASŪ Technical Support

 

Paper 416-2013:

 Sunil Gupta, Gupta Programming

 

SASŪ Enterprise GuideŪ, Best of Both Worlds: Is it Right for You?

 

Paper 417-2013:

 Sreenivas Mullagiri, iGATE Global Solution ; Thomas Billings, Union Bank

 

Update, Insert, and Carry-Forward Operations in Database Tables Using SASŪ Enterprise GuideŪ

 

Paper 418-2013:

 Menaga Ponnupandy, Technosoft Corp

 

A Comparison between GUI Prompts of SASŪ Enterprise GuideŪ 4.1 and 4.3 and Approaches for Developing Next-Generation Prompts

 

Paper 419-2013:

 David Kratz, d-Wise

 

Making do with less: Emulating Dev/Test/Prod and Creating User Playpens in SASŪ Data Integration Studio and SASŪ Enterprise GuideŪ

 

Paper 420-2013:

 Casey Smith, SAS

 

What SASŪ Administrators Should Know About Security and SASŪ Enterprise GuideŪ

 

SAS Futures   (Download entire section)


Paper 398-2013:

 Cindy Wang, SAS ; Doug Sedlak, SAS ; Gordon Keener, SAS ; Robert Ray, SAS

 

MapReduce Anywhere with DS2

 

Paper 509-2013:

 Saravana Chandran, SAS

 

Your GPS for SASŪ on the Cloud

 

Paper 510-2013:

 Peter Villiers, SAS

 

SASŪ Virtual Applications in Your Cloud Infrastructure

 

Paper 511-2013:

 Wayne Thompson, SAS

 

You Like What? Creating a Recommender System with SASŪ

 

Paper 512-2013:

 Justin Choy, SAS ; Tonya Balan, SAS

 

Making the Most of Your SASŪ Investment in the Era of Big Data

 

Statistics and Data Analysis   (Download entire section)


Paper 421-2013:

 Bob Rodriguez, SAS ; Guixian Lin, SAS

 

Using the QUANTLIFE Procedure for Survival Analysis

 

Paper 422-2013:

 David Pasta, ICON Late Phase & Outcomes Research

 

Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses

 

Paper 423-2013:

 Yang Yuan, SAS

 

Computing Direct and Indirect Standardized Rates and Risks with the STDRATE Procedure

 

Paper 424-2013:

 Bobby Gutierrez, SAS

 

Good as New or Bad as Old? Analyzing Recurring Failures with the RELIABILITY Procedure

 

Paper 425-2013:

 Dawit Mulugeta, Cardinal Health ; Jason Greenfield, Cardinal Health ; Lisa Conley, Cardinal Health ; Tison Bolen, Cardinal Health

 

Price and Cross-Price Elasticity Estimation Using SASŪ

 

Paper 427-2013:

 Warren Kuhfeld, SAS ; Ying So, SAS

 

Creating and Customizing the Kaplan-Meier Survival Plot in PROC LIFETEST

 

Paper 428-2013:

 Polina Kukhareva, University of North Carolina at Chapel Hill

 

Cox Proportional Hazard Model Evaluation in One Shot

 

Paper 429-2013:

 Beeya Na, ICON Late Phase & Outcomes Research ; Eric Elkin, ICON

 

Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment

 

Paper 430-2013:

 Jennifer Waller, Georgia Health Sciences University ; Maribeth Johnson, Georgia Health Sciences University

 

Chi-Square and t-Tests Using SASŪ: Performance and Interpretation

 

Paper 431-2013:

 Michael G. Wilson, Biostatistical Communications, Inc.

 

Assessing Model Adequacy in Proportional Hazards Regression

 

Paper 432-2013:

 Maura Stokes, SAS

 

Current Directions in SAS/STATŪ Software Development

 

Paper 433-2013:

 Bethany Bell, University of South Carolina ; Jason Schoeneberger, University of South Carolina ; Mihaela Ene, University of South Carolina ; Whitney Smiley, University of South Carolina

 

A Multilevel Model Primer Using SASŪ PROC MIXED

 

Paper 434-2013:

 John Sall, SAS

 

From Big Data to Big Statistics

 

Paper 435-2013:

 Joseph Gardiner, Michigan State University

 

Joint Modeling of Mixed Outcomes in Health Services Research

 

Paper 436-2013:

 Fang Chen, SAS

 

Missing No More: Using the MCMC Procedure to Model Missing Data

 

Paper 437-2013:

 Jill Tao, SAS ; Kathleen Kiernan, SAS ; Phil Gibbs, SAS ; Randy Tobias, SAS

 

Having an EFFECT: More General Linear Modeling and Analysis with the New EFFECT Statement in SAS/STATŪ Software

 

Paper 438-2013:

 Stephen Mistler, Arizona State University

 

A SASŪ Macro for Applying Multiple Imputation to Multilevel Data

 

Paper 439-2013:

 Alex Herrington, North Carolina State University ; Liuchun Yang, California State University Long Beach ; Yun Gao, California State Universiday Long Beach

 

Regression of NASCAR: Looking into Five Years of Jimmie Johnson

 

Paper 440-2013:

 Stephen Mistler, Arizona State University

 

A SASŪ Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data

 

Paper 441-2013:

 Violeta Balinskaite, University of Bologna

 

Short-Term Costs of Smoking during Pregnancy: A Geometric Multidimensional Approach

 

Paper 442-2013:

 Lucy D'Agostino, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine ; Melody S. Goodman, Division of Public Health Sciences at Washington University in St. Louis School of Medicine

 

Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX

 

Paper 443-2013:

 Ignacio A. Inoa, Université de Cergy-Pontoise

 

Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model

 

Paper 444-2013:

 Abbas Tavakoli, University of South Carolina ; Sue Heiney, University of South Carolina

 

Examining Mediator and Indirect Effects of Loneliness in Social Support on Social Well-Being Using the Baron and Kenny Method and a Bootstrapping Method

 

Paper 445-2013:

 Robin High, University of Nebraska Medical Center

 

Models for Ordinal Response Data

 

Paper 446-2013:

 Bob Derr, SAS

 

Ordinal Response Modeling with the LOGISTIC Procedure

 

Paper 447-2013:

 Rachel Poulsen, TiVo

 

Segmentation and Classification Analysis Using SASŪ

 

Paper 448-2013:

 Christian Macaro, SAS ; James Lemieux, SAS Institute ; Jan Chvosta, SAS ; Kenneth Sanford, SAS

 

Estimating Censored Price Elasticities Using SAS/ETSŪ: Frequentist and Bayesian Approaches

 

Paper 449-2013:

 Taylor Lewis, U.S. Office of Personnel Management

 

Considerations and Techniques for Analyzing Domains of Complex Survey Data

 

Paper 450-2013:

 Matthew Russell, University of Minnesota

 

Markov Chains and Zeros in My Data: Bayesian Approaches in SASŪ That Address Zero Inflation

 

Paper 451-2013:

 Deanna Schreiber-Gregory, North Dakota State University

 

Exploring Health Trends and Risk Behavior Analysis in American Youth Using PROC SURVEYFREQ and PROC SURVEYLOGISTIC

 

Paper 452-2013:

 Pei-Chin Lu, University of Northern Colorado ; Robert Pearson, University of Northern Colorado

 

Modeling Change over Time: A SASŪ Macro for Latent Growth Curve Modeling

 

Paper 453-2013:

 Casey Sperrazza, University of Alabama

 

Forecasting Net Job Creation Using SASŪ

 

Paper 454-2013:

 Theresa Ngo, Warner Bros. Home Entertainment

 

The Box-Jenkins Methodology for Time Series Models

 

Paper 456-2013:

 Aude Pujula, Louisiana State University ; David Maradiaga, Louisiana State University ; Hector Zapata, Louisiana State University

 

Exploring Time Series Data Properties in SASŪ

 

Paper 457-2013:

 Warren Kuhfeld, SAS ; Weijie Cai, SAS

 

Introducing the New ADAPTIVEREG Procedure for Adaptive Regression

 

Paper 458-2013:

 David Corliss, Magnify Analytic Solutions

 

Nontemporal ARIMA Models in Statistical Research

 

Paper 491-2013:

 Aarti Bellara, University of South Florida ; Harold Holmes, University of South Florida ; Isaac Li, Univ. of South Florida ; Jeanine Romano, University of South Florida ; Jeffrey Kromrey, University of South Florida ; Patrice Rasmussen, 5336 Clover Mist Drive ; Patricia Rodriguez de Gil, University of South Florida ; Yi-Hsin Chen, University of South Florida

 

DICHOTOMIZED_D: A SASŪ Macro for Computing Effect Sizes for Artificially Dichotomized Variables

 

Paper 492-2013:

 Dirk Van den Poel, Ghent University ; Philippe Baecke, Vlerick Business School

 

The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity

 

Paper 501-2013:

 David Dickey, NC State University

 

Finding the Gold in Your Data: An Overview of Data Mining

 

Paper 502-2013:

 J. Michael Hardin, University of Alabama

 

What Is Business Analytics?

 

Paper 504-2013:

 Irena Cenzer, UCSF ; John Boscardin, UCSF ; Katharine Kirby, UCSF ; Yinghui Miao, NCIRE

 

Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples

 

Systems Architecture and Administration   (Download entire section)


Paper 459-2013:

 Daniel Zuniga, SAS ; Rich Pletcher, SAS ; Tom Keefer, SAS

 

Virtualized Environment for SASŪ High-Performance Products

 

Paper 460-2013:

 Andy Birds, The Co-operative Banking Group ; Chris Rigden, SAS

 

Building a SASŪ Grid Support Capability in the Enterprise

 

Paper 461-2013:

 Casey Thompson, SAS ; Chuck Hunley, SAS ; Michael King, SAS ; Rob Hamm, SAS

 

Tips and Techniques for Deploying SASŪ in an Application Virtualization Environment

 

Paper 463-2013:

 Amy Peters, SAS ; Bob Bonham, SAS ; Zhiyong Li, SAS

 

Monitoring 101: New Features in SASŪ 9.4 for Monitoring Your SASŪ Intelligence Platform

 

Paper 464-2013:

 Diane Hatcher, SAS

 

SASŪ 9.3 Administration Guilty Pleasures: A Few of My Favorite Things

 

Paper 465-2013:

 Simon Williams, SAS

 

Knowing Me, Knowing My UI (ah-haa): Understanding SASŪ 9.3 and SASŪ 9.4 Desktop and Web Client Application Usage Within Your Organization

 

Paper 466-2013:

 Nicholson (Nick) Warman, Hewlett-Packard (onsite @ SAS)

 

SAS Visual Analytics (SASVA) and SAS High-Performance Analytics Server (SASHPAS) - Network Considerations and Data Management/Governance

 

Paper 467-2013:

 John Heaton, Heritage Bank

 

SASŪ Release Management and Version Control

 

Paper 468-2013:

 Amy Peters, SAS ; Bryan Wolfe, SAS

 

Enhance Your High Availability Story by Clustering Your SASŪ Metadata Server in SASŪ 9.4

 

Paper 469-2013:

 Helen Pan, SAS

 

Best Practices for Deploying Your SASŪ Applications in a High-Availability Cluster

 

Paper 470-2013:

 Doug Haigh, SAS

 

The Top Four User-Requested Grid Features Delivered with SASŪ Grid Manager 9.4

 

Paper 471-2013:

 Jouni Javanainen, Aureolis

 

Creating metadata environment from existing one for testing purpose

 

Paper 472-2013:

 Peter Crawford, Crawford Software Consultancy Limited

 

Configure Your Foundation SASŪ Client Easily and without Risk

 

Paper 473-2013:

 Greg Nelson, ThotWave Technologies, LLC. ; Jennifer Parks, CSC Inc ; Michael Raithel, Westat ; Paul Homes, Metacoda

 

SAS Administration: The State of the Art (Panel Discussion)

 

Paper 474-2013:

 Fred Forst, SAS

 

A Case Study of Tuning an Enterprise Business Intelligence Application in a Multi-OS Environment

 

Paper 475-2013:

 Simon Williams, SAS

 

Grand Designs: Why It Pays to Think About Technical Architecture Design Before You Act

 

Paper 476-2013:

 Stuart Rogers, SAS

 

Kerberos and SASŪ 9.4: A Three-Headed Solution for Authentication

 

Paper 478-2013:

 Jennifer Parks, CSC Inc

 

SASŪ Enterprise Business Intelligence Deployment Projects in the Federal Sector: Best Practices

 

Paper 479-2013:

 Spencer Hayes, J. S. Hayes, Inc.

 

Benchmarking SASŪ I/O: Verifying I/O Performance Using fio

 

Paper 480-2013:

 John Scheibmeir, eBay

 

eBay Quadruples Processing Speed with SASŪ In-Database Analytics for Teradata

 

Paper 481-2013:

 Jan Bigalke, Allianz Managed Operations & Services SE

 

Hardening a SASŪ Installation on a Multi Tier installation on Linux

 

Paper 482-2013:

 Donna Bennett, SAS ; Gerry Nelson, SAS ; Mark Schneider, SAS

 

Do I Need a Migration Guide or an Upgrade Coach?

 

Paper 483-2013:

 Rob Stephens, SAS ; Saravana Chandran, SAS

 

Integrating SASŪ into Your Operational Environment: SOA: A Means to an End

 

Paper 484-2013:

 Barbara Walters, SAS ; Ken Gahagan, SAS ; Leigh Ihnen, SAS ; Vicki Jones, SAS

 

How to Choose the Best Shared File System For Your Distributed SASŪ Deployment

 

Paper 485-2013:

 Euwell Bankston, Union Bank, NA ; Thomas Billings, Union Bank

 

Bridging the Gap Between SASŪ Applications Developed by Business Units and Conventional IT Production

 

Paper 486-2013:

 TB D, Global Forum

 

Best Practices for Deploying SASŪ on Red Hat Enterprise Linux

 

Paper 487-2013:

 Margaret Crevar, SAS ; Tony Brown, SAS

 

SASŪ and the New Virtual Storage Systems

 

Paper 490-2013:

 Lori Guido, US Census Bureau ; Michael Bretz, SAS ; Stephen Moore, US Census Bureau

 

SASŪ Virtual Desktop Deployment at the U.S. Bureau of the Census

 

Paper 493-2013:

 Jack Hamilton, Kaiser Foundation Hospitals

 

Writing a Useful Groovy Program When All You Know about Groovy Is How to Spell It

 

Paper 494-2013:

 Andrew Macfarlane, SAS ; Frank Schneider, Allianz Managed Operations and Services SE

 

Pi in the Sky: Building a Private SASŪ Cloud