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,


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 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, ; 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 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:



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,


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