Paper 001-29: Patricia 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, Tracy 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: Koen Vyverman
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 Page
Automated Distribution of SAS Results
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: Kryn Krautheim
Mainframe SAS for the 21st Century
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 Fehdc
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: David Duling, Robert Chu
Message Queue-Based Scoring Interface
Paper 082-29: Hong Qi
A Practical Approach to Transferring Data from Microsoft Excel® to SAS® in Pharmaceutical Research
Paper 084-29: Charles Manahan
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
Data Warehousing, Management and Quality
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...
Planning, Development and Support
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 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
A-P-P Advanced Data Management Functions
Paper 265-29
:
Ronald Cody
An Introduction to Perl Regular Expressions in SAS 9
Paper 267-29
:
Ralph W. Leighton
Some Uses (and Handy Abuses) of PROC TRANSPOSE
Paper 268-29
:
Katie M Ronk
Introduction to PROC SQL
Paper 269-29
:
Craig Dickstein, Ray Pass
DATA Step vs. PROC SQL: What's a Neophyte to Do?
Paper 270-29
:
Marje Fecht, Linda A. Mitterling
Improve Your Queries: Hints and Tips for Using SQL