SAS Global Forum Proceedings / SUGI 29 2004

Copyright_Info_Sugi29-2004.pdf

Paper 001-29: Patricia B. Cerrito
    Solutions to the Investigation of Healthcare Outcomes in Relationship to Healthcare Practice

Paper 002-29: Robert N. Rodriguez, Susan B. Lewellen
    SAS SPM Solution for Healthcare: Quallity Improvement for Providers Using Statistical Process Control

Paper 003-29: John Wallace, Tracey Cermack
    Text Mining Warranty and Call Center Data: Early Warning for Product Quality Awareness

Paper 004-29: Liz Roche
    From Buzzwords to Business Value

Paper 005-29: Gordon Linoff
    Understanding Customers through Data: A Data Miner's View

Paper 006-29: Randy Betancourt
    Predicting Customer Future Purchase Patterns with Confidence

Paper 007-29: John Sall
    JMP Version 5.1 Expands Visualization Capabilities, Enhances DOE and Provides Six Sigma Tools

Paper 008-29: Lina Clover, Elizabeth Ruben
    Introducing the New Rich-Client OLAP Analyzer from SAS – SAS Enterprise Guide 3.0 OLAP Analyzer

Paper 009-29: David Duling
    High-Dimensional Data Mining Techniques

Paper 010-29: Annette M. Sanders, Craig DeVault
    Using SAS at SAS: The Mining of SAS Technical Support

Paper 011-29: James W. Mentele, Tim A. Pletcher
    Product Performance Predictive Modeling

Paper 012-29: James White, Stephen McDaniel
    Developing Custom SAS Tasks for SAS Enterprise Guide and the SAS Add-In for Microsoft Office

Paper 013-29: Randy Herbison
    A Format Viewer for the SAS Explorer

Paper 014-29: Michael Krumenaker, George Bukhbinder, Xiaoyan Yang
    SAS Data Quality – Cleanse: Techniques for Merge/Purge on Very Large Datasets

Paper 015-29: Michael L. Davis, Ralph W. Leighton
    SCL Rides Again! Porting RESMENU to the Web

Paper 016-29: Michael Gilman, Alan D. Leach
    CATALOGER: Updated for SAS 9

Paper 017-29: Stephen McDaniel, Annette McDaniel, Gregory A. Smith
    SAS Enterprise Guide 3.0 for SAS Programmers – A Roadmap to Combining the Best of Both Worlds

Paper 018-29: Jenine Eason, Jerry Johannesen
    Creating Meaningful Data from Web Logs Using Base SAS

Paper 019-29: Eugene Yeh
    A SAS Database Search Engine Gives Everyone the Power to Know

Paper 020-29: Larry Altmayer
    An Introduction to SAS/SHARE, By Example

Paper 021-29: Fagen Xie, Wansu Chen
    Backing Up File Systems with Hierarchical Structures Using SAS/CONNECT

Paper 022-29: John Ranson, Wai Ming Chan
    A Complex Query within SAS/IntrNet

Paper 023-29: Steve James
    A Hiker's Guide to Web Development

Paper 024-29: Corey Benson, Robert Girardin
    A Guide to Understanding Web Application Development

Paper 025-29: Jonah P. Turner
    A Recipe for Success: Migrating SAS/AF Applications to the Web Using SAS, HTML, and JavaScript

Paper 026-29: Gabriel Cano,Bob Cameron, Kevin McGowan, Jean Orelien
    Developing a System with SAS/IntrNet, Accessing an Oracle Database, Some ODS and a Whole Lot of Problems

Paper 027-29: Bernd E. Imken
    The Q & A's of SAS/AF Development

Paper 028-29: Mark Tabladillo
    How to Implement the One-Time Methodology

Paper 029-29: Matthias Ender
    Taking Your SAS/MDDB Server Applications to the Next Level

Paper 030-29: Jeff Wright, Greg Barnes Nelson
    Developing and Deploying Java Applications around SAS: What They Didn't Tell You in Class

Paper 031-29: Lei Zhang
    A Lightweight HTML Codebook Generator for Clinical Trial Data

Paper 032-29: David Yarmchuk
    Practical Application of SAS for the Beginner – Enabling the Replacement of a Fragile Access Database

Paper 033-29: Richard A. DeVenezia
    Greetings from the Edge: Using javaobj in DATA Step

Paper 034-29: Haiping Luo
    Let SAS Tell Microsoft Word to Collate

Paper 035-29: Luke Castellanos, Nick Spanos
    Creating Ranking Charts Using SAS/GRAPH and the Annotate Facility

Paper 036-29: Michael C. Palmer
    XML in the DATA Step

Paper 037-29: Rich Main
    Exploiting the SAS Business Intelligence Architecture Using SAS AppDev Studio

Paper 038-29: David A. Scocca
    Building a More Robust SAS Application

Paper 039-29: Jacques Pagé
    Automated Distribution of SAS Results

Paper 040-29: Wei Cheng
    Helpful Undocumented Features in SAS

Paper 041-29: Theresa Gordon, Monique Eleby
    PROC FREQ – What's It Really Good For?

Paper 042-29: Weiming Hu
    Top Ten Reasons to Use PROC SQL

Paper 043-29: Richard Pless
    An Introduction to Regular Expressions with Examples from Clinical Data

Paper 044-29: Howard Schreier
    The Very Valuable Variable Value Functions

Paper 045-29: Matt Pettis
    A Format to Make the _Type_ Field of PROC MEANS Easier to Interpret

Paper 046-29: David L. Cassell
    Double Your Pleasure, Double Your Words...

Paper 047-29: Frank J. Ivis
    Guidelines on Writing SAS® Macros for Public Use

Paper 048-29: David A. Fielding
    Making Music in SAS: Using Sound to Alert Users of Errors and Data Discrepancies

Paper 049-29: David Shen, Zaizai Lu
    Switch Data Source and Output Destination without Changing Programs

Paper 050-29: Shane L.Hornibrook
    Comparing the Desired Variable Definitions with the Actual Data Sets across Multiple Studies

Paper 051-29: David D. Chapman
    Using SAS Catalogs to Develop and Manage SAS Data Step Programs

Paper 052-29: Yunchao (Susan) Tian
    The Power of CALL SYMPUT – DATA Step Interface by Examples

Paper 053-29: Prasad S. Ravi
    Automatic Logon to Mainframe and Transfer SAS Data Sets

Paper 054-29: William C. Murphy
    Colonoscopy for the SAS® Programmer

Paper 055-29: Michael P. Bramley
    Better Clay Builds Better Bricks: Some Simple Suggestions to Writing Professional Macros

Paper 056-29: Tugluke Abdurazak
    Reading Multiple Complex Report Files

Paper 057-29: Debbie Miller
    A Macro for Reading Multiple Text Files

Paper 058-29: Marcelo Coca-Perraillon, Matthew P. Lambert
    Complementing SAS with Perl: Updating, Creating, Running and Checking SAS Code

Paper 059-29: David J. Austin
    Using Text Files to Enhance SAS Code

Paper 060-29: Ted Conway
    All The News That’s Fit to Aggregate: A SAS Based RSS Newsreader

Paper 061-29: Brian P. Fairfield-Carter
    A Stand-Alone SAS Annotate System for Figure Generation

Paper 062-29: Paul D. Sherman
    Dynamic Macro Invocation Utility

Paper 063-29: Michael J. Molter
    The Role of Consecutive Ampersands in Macro Variable Resolution and the Mathematical Patterns that Follow

Paper 064-29: Paul D. Sherman
    Creating Efficient SQL – Union Join without the Union Clause

Paper 065-29: Zizhong Fan
    Subsetting SAS Data Set by Using PROC SQL Self-join with Compound Key

Paper 066-29: Regina Clincy
    Using SAS to Process Data Entered into a Microsoft Access User Interface

Paper 067-29: James C. Stokes
    SAS Data Views Simply Stated

Paper 068-29: Erik W. Tilanus
    Dating SAS and MS Excel

Paper 069-29: Pingping Zhang
    A SAS Macro to Count Consecutive Days

Paper 070-29: Ronald Fehd
    ARRAY: Construction and Usage of Arrays of Macro Variables

Paper 071-29: Robert S. Matthews
    Using SAS/AF to Create Data Entry Screens with Multiple Comment Fields Allowing for Unlimited Amounts of Text in Each Field

Paper 072-29: Zizhong Fan
    Matching Character Variables by Sound: A Closer Look at the SOUNDEX Function and Sounds-Like Operator (=*)

Paper 073-29: Howard Schreier
    Using Edit-Distance Functions to Identify “Similar” E-Mail Addresses

Paper 074-29: Bruce F. Gilsen
    Tales From the Help Desk: Solutions for Simple SAS Mistakes

Paper 075-29: Robert Patten
    Randomly Selecting Observations

Paper 076-29: Kirby L. Cossey
    Quicker Than Merge?

Paper 077-29: Desheng Xu
    Subset Raw Data and Zip Them Up

Paper 078-29: Steven D. Beakley, Suzanne D. McCoy
    Dynamic SAS Programming Techniques, or How NOT to Create Job Security

Paper 079-29: Merle E. Hamburger, Thomas Sukalac
    Linking Unlinked Data: PROCs SQL and SORT Can Do It

Paper 080-29: Don(Dongguang) Li
    Directly Using the Lab Ranges Data into SAS Program of Determining Lab Normality

Paper 081-29: Yanhong Huang, Jianming He
    Using Templates Created by the SAS/STAT Procedures

Paper 082-29: Hong Qi
    A Practical Approach to Transferring Data from Microsoft Excel® to SAS® in Pharmaceutical Research

Paper 083-29: Rick M. Mitchell
    Thumbs Up for ODS Graphics, But Don't Throw Out Your SAS/GRAPH Programs!

Paper 084-29: Elizabeth N. Axelrod, David Shamlin
    Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You

Paper 085-29: Ray Pass, Sandy McNeill
    PROC TABULATE: Doin' It in STYLE!

Paper 086-29: Justina M. Flavin, Art Carpenter
    Is the Legend in Your SAS/GRAPH Output Telling the Right Story?

Paper 087-29: Art Carpenter, Richard O. Smith
    Controlling Graph Size: Building Thumbnails and GIF Files Using SAS/GRAPH

Paper 088-29: Steven Feder
    Perfecting REPORT Output to RTF

Paper 089-29: Derek Morgan, Steve Hoffner
    Generating a Detailed Table of Contents for Web-Served Output

Paper 090-29: Mike Zdeb
    Pop-Ups, Drill-Downs, and Animation

Paper 091-29: Perry Watts
    Advanced Programming Techniques for Working with Color in SAS Software

Paper 092-29: Kevin Payton Delaney
    Pure Evil, or Just Misunderstood? An Interview with PROC TEMPLATE

Paper 093-29: Gary M. McQuown
    SAS Macros are the Cure for Quality Control Pains

Paper 094-29: Susan B. Long, Linda Roberge, Jeff Lamicela, Mummoorthy Murugesan
    Balancing Data Quality Against Time and Money Constraints

Paper 095-29: Kimberly A. Todd, Catherine A. Lindsey, Kristin M. Debnar
    Dirty Data? dfPower Studio to the Rescue!

Paper 096-29: Brett C. Peppe
    Write Log (%WL) a Production Logging Utility for Data Warehouse Transactional Logs

Paper 097-29: Dennis Tang, Don Cooper
    SAS Macros for Large Scale Data Analysis and Quality Management of Corporate Actuarial Data Mart

Paper 098-29: Jonathan G. Geiger
    Data Quality Management: The Most Critical Initiative You Can Implement

Paper 099-29: Eric J. Hunley
    Data Quality Solution – A Technical Overview

Paper 100-29: Scott Optenberg
    Data Standardization Strategies Producing Rapid International Disease Surveillance and Intervention: The Challenge and Solution

Paper 102-29: John Walker, Gavin Day
    Good Data Makes Good Marketing: Using Data Management to Enhance the Effectiveness of Database Marketing Campaigns

Paper 103-29: Ken Wright
    Make Your Data a Strategic Asset

Paper 104-29: Diane Hatcher
    Designing Information Maps for Ad Hoc Reporting

Paper 105-29: Gad Kotler
    Metadata for End Users – A Crucial Part of Your Data Warehouse Quality Policy

Paper 106-29: Lois Levin
    Methods of Storing SAS® Data into Oracle Tables

Paper 107-29: Scott Fadden
    Improving Peformance: Accessing DB2 Data with SAS 9

Paper 108-29: Julia Z. Zhang, David Chen
    Data Management in Analyzing Clinic Trial Data – Metadata Application

Paper 109-29: Greg S. Barnes Nelson
    Real Time Decision Support: Creating a Flexible Architecture for Real Time Analytics

Paper 110-29: Steve Morton
    Just How Many Dates Do You Want? The Multiple Personality of Time in Your Data Warehouse

Paper 111-29: Michael Krumenaker, George Bukhbinder
    Developing Data Marts and Web-Enabled OLAP for Actuarial and Underwriting Analysis

Paper 112-29: Steve A. Wilson
    Why SAS is the Best Place to Put Your Clinical Data

Paper 113-29: Dominic Roy, Josée Genois
    Business Views of Building an Actuarial System Using SAS/Warehouse Administrator

Paper 114-29: Gary Mehler
    Next Generation Data Warehousing with SAS 9

Paper 115-29: Zeph G. Stemle
    Building a Purchasing Data Warehouse for SRM from Disparate Procurement Systems

Paper 116-29: Martin Brown
    8 Characteristics of a Successful Data Warehouse

Paper 117-29: Charles Hallahan, Linda Atkinson
    Introduction to Using SAS Enterprise Guide for Statistical Analysis

Paper 118-29: Marje Fecht
    Version 9 Programming Enhancements – Vive la difference?

Paper 119-29: Miriam G. Cisternas, Ricardo A. Cisternas
    Reading and Writing XML Files from SAS

Paper 120-29: Mike Zdeb
    Creating Maps with SAS/GRAPH – Drill Downs, Pop-Ups, and Animation

Paper 121-29: Philip A. Mason
    Tricky Aspects of the DATA Step

Paper 122-29: Dan Bruns, Ray Pass
    To REPORT or to TABULATE? – That is the Question!

Paper 123-29: Michael A. Raithel
    Creating and Exploiting SAS Indexes

Paper 124-29: M. Michelle Buchecker
    Parallel Processing Hands-on Workshop

Paper 125-29: Lauren Haworth
    SAS with Style: Creating Your Own ODS Style Template for RTF Output

Paper 126-29: Kari Richardson, Eric Rossland
    Using Macros to Automate SAS Processing

Paper 127-29: Kirk Paul Lafler
    Efficiency Techniques for Beginning PROC SQL Users

Paper 128-29: Kevin Payton Delaney, Art Carpenter
    SAS Macro: Symbols of Frustration? %Let us help! A Guide to Debugging Macros

Paper 129-29: David L. Cassell
    The Perks of PRX...

Paper 130-29: Tom DeMarco
    Risk Management for Software Projects

Paper 131-29: Steven Flannes
    Effective People Skills for the Project Manager: A Requirement for Project Success and Career Advancement

Paper 132-29: John D. Patterson, Fiona McNeill
    How Do You Eat An Elephant?

Paper 133-29: Jenine Eason
    Assessing SAS Skill Level During the Interviewing Process

Paper 134-29: Sandra Minjoe
    Writing Code That Lasts

Paper 135-29: Dianne Louise Rhodes
    Programming Standards, Style Sheets, and Peer Reviews: A Practical Guide

Paper 136-29: John Gorden
    Designing Validation and Verification Activities as a Staff Development Tool

Paper 137-29: Jodi Barnes Nelson, Tim Walters
    The Softer Side of Software Development: Strategies for Managing Change

Paper 138-29: F. Joseph Kelley
    Behind the Scenes at SAS-L

Paper 139-29: Pat Moell, Sean Gargan
    Roadmap to SAS Documentation

Paper 140-29: Carrie L. Mariner
    From Standard to Superlative: How One Company Capitalized on its SAS Training Program

Paper 141-29: David C. Steven
    Successfully Supporting SAS® at the University: Lessons Learned

Paper 142-29: Joseph J. Guido, Adam B. Rains
    SAS® Backwards: Helping SAS and SPSS® Students Speak the Same Language

Paper 143-29: Gary M. McQuown
    SAS Consultants: Sheep in Wolf's Clothing

Paper 144-29: Richard Phillips, Mark Jordan
    Tinker, Tailor, Soldier, Spy: The Many Roles of the SAS Consultant

Paper 145-29: Dianne Louise Rhodes
    So You Want to Write a SUGI Paper? That Paper about Writing a Paper

Paper 146-29: Xiaoli Hu
    A Group Scatter Plot with Clustering

Paper 147-29: Mazen Abdellatif
    A SAS Macro for Generating Randomization Lists in Clinical Trials Using Permuted Blocks Randomization

Paper 148-29: Paul D. Frederick
    An Approach to Record-Linkage Using Propensity Score

Paper 150-29: Ted J. Guo
    Bells and Whistles for One-Line Text Box to Create a Smarter Where Clause

Paper 151-29: Quan Ren
    Clinical Trial Online – Running SAS on the Web without SAS/IntrNet

Paper 152-29: John Charles Gober, Deborah Mullen, Jana Smith
    Creating an Intranet Toolbox of Selective Oracle Metadata

Paper 153-29: Neal Musitano Jr.
    E-Mail OS/390 SAS/MXG Computer Performance Reports in HTML Format

Paper 154-29: Jihao Zhou, Bruce Coate, Yulei He
    Empirical Power Computation Using SAS for Schuirmann’s Two One-Sided Tests Procedure in Clinical Pharmacokinetic Drug-Drug Interaction Studies

Paper 155-29: Barbara Schneider, Kristan A. Schneider
    SAS Enterprise Guide – A Powerful Tool to Bridge the Gap between Statisticians and Medical Students

Paper 156-29: Ajaz (AJ) E. Farooqi
    SAS Enterprise Guide – A Quick Overview of Developing, Creating, and Successfully Delivering a Simple Project

Paper 157-29: Barbara B. Okerson
    Evaluating Hospital Performance: Using SAS ODS to Create a Hospital Scorecard

Paper 158-29: Mary A. McDonald
    Fun with Fancy Arrays

Paper 159-29: Haidong Tang, Xiao Ji
    Implemetation of Web-based ROLAP

Paper 160-29: Kenny C. Gross, Kesari Mishra
    Improved Methods for Early Fault Detection in Enterprise Computing Servers Using SAS Tools

Paper 161-29: Dominic Roy, André Milliard
    Modeling Object-Oriented SAS/AF Applications Using UML

Paper 162-29: Perry Watts
    New Palettes for SAS 9 Color Utility Macros

Paper 163-29: Louise S. Hadden
    PROC DOC and Beyond: Is PROC CONTENTS Enough?

Paper 164-29: Wendy B. Dickinson, Bruce W. Hall
    Packing Lunch or Packing Heat ? Comparative Data Displays of Student Weapons Violations Using SAS/GRAPH

Paper 165-29: Lori S. Parsons
    Performing a 1:N Case-Control Match on Propensity Score

Paper 166-29: Zaizai Lu, David Shen
    Present Data Listings with Numeric Column Names

Paper 167-29: Lindsey Chen
    Segmenting Children’s Narratives with PROC CLUSTER: An Application of SAS Tools to Child Language Studies

Paper 168-29: David Steves, Denise Figliozzi
    Swimming Through and Tapping Out a CA-7 Mainframe Scheduler on a Unix Server

Paper 169-29: Shi-Tao Yeh
    Tips and Techniques to Enhance Your SAS Statistical Graphics Output

Paper 170-29: Sharon Clanton, Darlene Davis
    Throw Away the Paper Trail and Send it by E-Mail

Paper 171-29: Huijuan Xu, John Hotaling
    Two Approaches to the Summarization of Data

Paper 172-29: Gregory Newkirk
    Using ODS, an Easy Approach in Creating HTML Web Pages

Paper 173-29: Hugh Kawabata, Michelle Tran, Patricia Hines
    Using SAS to Match Cases for Case Control Studies

Paper 174-29: Karl Mink, Mike Zdeb
    Using SAS to Model the Spread of Infectious Disease

Paper 175-29: Linda Gau
    Write SAS Code to Generate Another SAS Program – A Dynamic Way to Get Your Data into SAS

Paper 176-29: LeRoy Bessler
    Communication-Effective Use of Color for Web Pages, Graphs, Tables, Maps, Text, and Print

Paper 177-29: Howard L. Kaplan
    Widefiles, Deepfiles, and the Fine Art of Macro Avoidance

Paper 178-29: Jeanina Worden, Philip Jones
    You’ve Got Mail - E-mailing Messages and Output Using SAS EMAIL Engine

Paper 179-29: Julian Anderson, Greg S. Barnes Nelson, Jeff Wright
    A Day in the Life of an Analytical Warehouse

Paper 180-29: M. Aslam Chaudhry
    CRM: Making it Simple for the Financial/Banking Industry

Paper 181-29: Sylvain Tremblay
    Customer Profitability Modeling at Aeroplan

Paper 182-29: Frank Eckhausen
    XBRL – eXtensive Business Reporting Language, the New Language of Financial Reporting

Paper 183-29: Bill Inmon
    Data Warehouse: ROI and Database Design

Paper 184-29: Jim Metcalf
    SAS Intelligence Storage

Paper 186-29: Jong-Hag Jeon
    Data Mining Applications for a Six-Sigma Project

Paper 187-29: Jeffrey Howard, Phillip Birdine
    Building an Intelligent Marketing Database System: A Case Study in the Value of Customer Knowledge

Paper 188-29: E. Barry Moser
    Repeated Measures Modeling with PROC MIXED

Paper 189-29: Oliver Schabenberger
    Mixed Model Influence Diagnostics

Paper 190-29: Peter H. Van Ness, John R. O'Leary, Amy L. Byers, Terri R. Fried, Joel Dubin
    Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure

Paper 191-29: Ernest S. Shtatland, Ken Kleinman, Emily M. Cain
    A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging

Paper 192-29: Russ Lavery
    An Animated Guide: The Logic of Hypothesis Testing and ANOVA

Paper 193-29: Dave P. Miller
    Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic

Paper 194-29: Michelle Pritchard, David J. Pasta
    Head of the CLASS: Impress Your Colleagues with a Superior Understanding of the CLASS Statement in PROC LOGISTIC

Paper 195-29: Deborah J. Bauer, Russ Lavery
    PROC POWER in SAS 9.1

Paper 196-29: Eric M. Rosenberg
    How I Stopped Worrying and Learned to Love Pearsons p: Increasing Robustness in Correlation Analysis

Paper 197-29: Ilene K. Brill, Fabio Barbone
    A SAS® Program Computes the Crude, Stratified and Mantel-Haenszel Odds Ratio for Case-Control Study Analysis of Nx2xK Tables

Paper 198-29: Anthony C. Hamlett, Louise Ryan, Russ Wolfinger
    On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures

Paper 199-29: Haftan M. Eckholdt
    Risk Management : Using SAS to Model Portfolio Drawdown, Recovery, and Value at Risk

Paper 200-29: George Rezek
    A System to Calculate Market Value-at-Risk using Oracle®

Paper 201-29: David A. Dickey
    Case Studies in Time Series II: Periodic Behavior and Related Topics

Paper 202-29: Gary Long, John Wood, Xin Luo, John D. Perrin
    Estimation Methodology for Natural Gas Production in the Gulf of Mexico

Paper 203-29: Melissa Whitney, Ngo Long
    Bayesian Model Averaging Using SAS Software

Paper 204-29: Robert N. Rodriguez
    An Introduction to ODS for Statistical Graphics in SAS 9.1

Paper 205-29: David J. Pasta, Diana Suhr
    Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis

Paper 206-29: Jeff M. Gossett, Pippa M. Simpson, Renée A. Hall, Carol Connell, Kathy Yadrick, Margaret L. Bogle
    Using SAS Procedures to Make Sense of a Complex Food Store Survey

Paper 207-29: David Izrael, David C. Hoaglin, Michael P. Battaglia
    To Rake or Not to Rake Is Not the Question Anymore with the Enhanced Raking Macro

Paper 208-29: Jayawant N. Mandrekar, Sumithra J. Mandrekar
    An Introduction to Matching and Its Application Using the SAS® System

Paper 209-29: Robby A. Diseker
    Simplified Matched Case-control Sampling Using PROC SURVEYSELECT

Paper 210-29: Geoffrey Paulin, Shirley Tsai, Melissa Grance
    Model-Based Multiple Imputation

Paper 211-29: Ralph G. O'Brien, John Castelloe
    Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER

Paper 212-29: Gary Koch, Maura Stokes
    Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events

Paper 213-29: Russ Wolfinger, Wendy Czika, Kristen Kleiss
    Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays and Proteomics

Paper 214-29: Margaret L. Bogle, Rajiv Goel, Robert Hamer, Chan-Hee Jo, Eric Siegel, Pippa M. Simpson
    Assessing Model Fit and Finding a Fit Model

Paper 215-29: Michael A. Raithel
    Measuring SAS Software Usage on Shared Servers with the RTRACE Facility

Paper 216-29: Peter W. Eberhardt
    Publish or Perish: An introduction to the SAS Publish/Subscribe Framework

Paper 217-29: David Shamlin
    Threads Unraveled: A Parallel Processing Primer

Paper 218-29: Maureen E. Chew
    9.1 Steps to Success with SAS 9.1 on Solaris 9

Paper 219-29: Aimee Basile, Dave Hayden
    Architecting AppDev Studio Based Web Applications with Object Oriented Methodologies

Paper 220-29: Mark Hayakawa
    SAS System for Windows: Integrating with a Network Appliance™ Filer

Paper 221-29: Robert Ellsworth
    DB2, SAS, and You

Paper 222-29: Peter W. Eberhardt
    Bring the Data Warehouse to the Office with SAS Integration Technologies

Paper 223-29: Jennifer B. Clegg, Stephen McDaniel
    SAS Add-In for Microsoft Office – Leveraging SAS throughout the Organization from Microsoft Office

Paper 224-29: Dominic Roy, Alain Baillargeon
    Architectural Views on Building an Actuarial System with SAS/Warehouse Administrator

Paper 225-29: Pat Bostic, Clarke Thacher, Dave Crow, John Roth
    Top Deployment Considerations for the SAS 9.1 Intelligence Architecture

Paper 227-29: Cheryl Doninger
    SAS and Grid Computing – Maximize Efficiency, Lower Total Cost of Ownership

Paper 228-29: Greg S. Barnes Nelson, Danny Grasse, Jeff Wright
    Automated Testing and Real-time Event Management: An Enterprise Notification System

Paper 229-29: Jack Hamilton
    Using New Features in ODS to Create Master/Detail Reports

Paper 230-29: Haftan M. Eckholdt
    Financial COWs: Using SAS to Manage Parallel Clusters for Simulating Financial Markets

Paper 231-29: Frank M. Bartucca, Laurie Jeagers
    Taking a Deeper Look into the SAS Intelligence Architecture: How to use AIX Tools to Examine Interactions of Base SAS with the IBM pSeries Platform

Paper 232-29: Barry R. Cohen
    Using AppDev Studio and Integration Technologies for an Easy and Seamless Interface between Java and Server-Side SAS

Paper 233-29: Frederick E. Pratter
    Building an Online Entry Form with WebAF (and a Little Java)

Paper 234-29: David H. Johnson
    Guiding Your Enterprise with SAS Enterprise Guide

Paper 235-29: Harry Droogendyk
    (In)Formats (In)Decently Exposed

Paper 236-29: Art Carpenter
    Building and Using User Defined Formats

Paper 237-29: Jeffrey Martin Abolafia, Frank DiIorio
    Dictionary Tables and Views: Essential Tools for Serious Applications

Paper 238-29: Paul Dorfman, Koen Vyverman
    Hash Component Objects: Dynamic Data Storage and Table Look-Up

Paper 239-29: Larry W. Douglass, Sue E. Douglass
    DATA: “Getting to Know You; Getting to Know All About You”

Paper 240-29: Andrew H. Karp
    Steps to Success with PROC MEANS

Paper 241-29: Dan Bruns
    The Utter “Simplicity?” of the TABULATE Procedure – The Final Chapter?

Paper 242-29: Kimberly J. LeBouton
    Getting Up to Speed with PROC REPORT

Paper 243-29: Lora D. Delwiche, Susan J. Slaughter
    SAS Macro Programming for Beginners

Paper 244-29: Ian Whitlock
    A Second Look at SAS Macro Design Issues

Paper 245-29: Lauren Haworth
    Introduction to ODS

Paper 246-29: Sunil Gupta
    Using Styles and Templates to Customize SAS® ODS Output

Paper 247-29: Howard Schreier
    Ask This Old Newsgroup: Using SAS-L Effectively

Paper 248-29: Steven J. First
    Unusual Uses of SAS

Paper 249-29: Brian K. Varney
    Using Meta and Project Data for Data Driven Programming (Updated for SAS 8 & SAS 9)

Paper 250-29: Philip A. Mason
    Introduction to SAS/GRAPH

Paper 251-29: Mike Zdeb
    The Basics of Map Creation with SAS/GRAPH

Paper 252-29: Neil Howard
    How SAS Thinks OR Why the DATA Step Does What It Does

Paper 253-29: Ronald Cody
    The INPUT Statement: Where It's @

Paper 254-29: Andrew T. Kuligowski
    How to Incorporate Old SAS Data into a New DATA Step, or “What is S-M-U?”

Paper 255-29: Deb Cassidy
    An Introduction to SAS Function-ality

Paper 256-29: Kirk Paul Lafler
    Basic SAS PROCedures for Generating Quick Results

Paper 257-29: Peter Knapp
    Debugging 101

Paper 258-29: Thomas J. Winn
    Guidelines for Coding of SAS Programs

Paper 259-29: Marge Scerbo
    Array tutorial(2) $ beginning intermediate;

Paper 260-29: Michael D. Rhoads
    Starts and Stops: Processing Episode Data with Beginning and Ending Dates

Paper 261-29: Jimmy DeFoor
    Selecting Records and Assigning Attributes

Paper 262-29: Marje Fecht, Larry Stewart
    Don't Be a Slave to Your SAS® Programs

Paper 263-29: Janet Stuelpner
    Mrs. Clean Tackles Dirty Data

Paper 264-29: Peter Crawford, Paul Dorfman
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