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
Data Warehousing, Management and
Quality
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...
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 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
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