SAS Global Forum Proceedings / SUGI 23 1998
Paper 001-23: Annie Guo
Efficient Cross Database Data Transaction Processing Between SAS Software and Oracle using SAS
Paper 002-23: Jeff Lessenberry
Manipulation of Hierarchy T ables in SAS/EIS Applications
Paper 003-23: Zhuan (John) Xu
Using SAS as an Automation Server in Windows Application Development
Paper 004-23: Krista A. Elspas and Julie Shadoan
Army Hearing Evaluation Automated Registry System (HEARS) Corporate Data Reporting System — A Customized EIS Solution
Paper 005-23: LeRoy Bessler Strong
Smart Systems: Use Software Intelligence to Build Reliable, Reusable, Extendable, and Maintainable Applications
Paper 006-23: Ron Coleman
The Building Blocks of PROC T ABULATE
Paper 007-23: Ronald Fehd
DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates
Paper 009-23: Naoko S. Stearns and John R. Gerlach
A Comprehensive Codebook Generator
Paper 010-23: Lisa Ann Horwitz
Harnessing the Power of SCL Lists
Paper 011-23: Derek Morgan and Mike Province
A Bag of FSEDIT Tricks
Paper 012-23: Christopher A. Roper and Gina M. Thomas
Cataloger: An Application Development Tool to View, Compare, and Document SAS Catalogs and Data Files
Paper 013-23: Thomas E. Link and Art Alexander
Pushing SAS/AF and FRAME Entries in MVS to the Limit: The USEPA's AIRS Graphics System
Paper 014-23: Kevin T. Brown
The Mediator Pattern Can Organize an Object-Oriented Application
Paper 015-23: Andrew Lawton, Helen Dewberry, and Michael Pearce
Producing Structured Clinical Trial Reports Using SAS: A Company Solution
Paper 016-23: Jack E. Fuller
Using Design Patterns to Implement Object-Oriented Menus in a SAS/AF Application
Paper 017-23: Andrew Ratcliffe
Two Application Infrastructure Tools (Automated Email and Non-Volatile Locks
Paper 018-23: Ray Pass
And All with the Push of a Button!
Paper 019-23: William Heffner
DATA Step in Version 7: What's New?
Paper 021-23: William Heffner
ODS: The DATA Step Knows
Paper 023-23: James P. Young, Jr.
User-Friendly Toolbox for Batch Processing within a UNIX Interactive Display Manager Session
Paper 024-23: Alan T. Pasquino and Don J. Fish
Evaluating the Migration of a SAS Application from a VAX to a PC-based NT Network
Paper 025-23: Tracy A. Cermack and Kimberly J. LeBouton
The Realities of Downsizing Part II: Moving a SAS Application from MVS to UNIX
Paper 026-23: Craig Ray
Establishing Production and Development Environments for Base SAS Software Development
Paper 027-25: Deborah A. Testa and Russell Holmes
SynCoder: A SAS/AF V7/8 Application for Implementing MedDRA Coding in Clinical Trials
Paper 028-23: Barry R. Cohen
Paper 029-23: James Glidden
Secret Menu T ricks: Using Lists to Manipulate Objects
Paper 030-23: Daniel J. Obermiller
Programming and Other Features of the JMP Calculator
Paper 031-23: Judy Loren and Gregory S. Barnes Nelson
SQL Step by Step: An Advanced T utorial for Business Users
Paper 032-23: Marge Scerbo and Alan Wilson
Tables and V iews and Forms: Oh My!
Paper 033-23: Michael L. Davis
SCL for the Rest of Us: Nonvisual Uses of Screen Control Language
Paper 034-23: Carl R. Haske
Application Development in SAS/AF Software Using Class Libraries
Paper 035-23:Thomas J. Winn, Jr.
Intermediate PROC SQL
Paper 036-23:Thomas Miron
Getting Started with SAS/AF Frame Subclasses
Paper 037-23:S. David Riba
Web Enabling Existing SAS Applications
Paper 038-23:Caroline C. Bahler, Sally Muller, David Doolittle, and Arturo Barrios
SAS and HTML — HTML Publishing Using SAS
Paper 039-23:Andrew A. Norton
SAS Software and Java for Interactive Graphics
Paper 041-23:Kirk Paul Lafler
Querying the Data W arehouse with the SQL Procedure SELECT Statement
Paper 042-23:Dana Rafiee
Understanding the SAS/MDDB Server to Process Large Files
Paper 043-23:David Mintz and Nicole G. Mintz
Macros = Magic; Where Number of Graphics = Many; Customizing Your Graphics Code with Macros
Paper 044-23:Chris Yindra
%SYSFUNC - The Brave New Macro World
Paper 045-23:Andrew T. Kuligowski
You Can RUN; But Your Data Cannot Hide: Advanced Methods to Introduce External Data into the SAS System
Paper 046-23:Aileen L. Yam
On Data Transfer
Paper 047-23:Malachy J. Foley
MATCH-MERGIN G : 20 Some T raps and How to Avoid Them
Paper 049-23: Arthur L. Carpenter
Advanced Macro T opics: Utilities and Examples
Paper 050-23: JoAnn Matthews
The SET Statement and Beyond: Uses and Abuses of the SET Statement
Paper 051-23: Andrew T. Kuligowski and Nancy Roberts
Basic Methods to Introduce External Data into the SAS System
Paper 052-23: Bruce F. Gilsen
SAS Program Efficiency for Beginners
Paper 053-23: Steven First
SAS Macros V ariables and Simple Macro Programs
Paper 054-23: Peter Ruzsa
Exporting Graphics to Other Applications: Which Method Should I Use?
Paper 055-23: Donna Torrence and Juli Staub Perry
Exploiting Key Answers from Your Data Warehouse using SAS Enterprise Reporter Software
Paper 056-23: J. Meimei Ma and Sandra Schlotzhauer
Tips and T echniques for Moving between Operating Environments
Paper 057-23: Andrew H. Karp
Working with SAS Date and Time Functions
Paper 058-23: Robert M. Hamer and Pippa M. Simpson
An Introduction to the Analysis of Repeated Measures for Continuous Response Data using PROC GLM and PROC MIXED
Paper 059-23: David A. Dickey
Regression with T ime Series Errors
Paper 060-23: John Brocklebank and Mark Brown
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software
Paper 061-23: Ronald Cody
The INPUT Statement: Where It's @
Paper 062-23: Rosalind K. Gusinow and J. Michael Miscisin
An Introduction to PROC SQL
Paper 063-23: Laurie Rose
Strategic Use of the SAS System in Banking
Paper 064-23: John C. Gober
Understanding Indexed Datasets and Using Direct Access Queries
Paper 065-23: Terry J. Fain and Cyndie Gareleck
An Introduction to SAS/FSP Software
Paper 066-23: Warren E. Stinson
Dynamically Build a PROC FORM A T for Subsetting Large Datasets
Paper 067-23: Erika Liu
Advanced T echniques for Creating Format with Variable Values
Paper 068-23: Nancy Patton
IN & OUT of CNTL with PROC FORMAT
Paper 069-23: Ronald Cody
IN & OUT of CNTL with PROC FORMAT
Paper 070-23: John R. Gerlach
Creating Numeric Formats Based on Precision, Not Magnitude
Paper 071-23: Janet Stuelpner and Boris Krol
It's Only Temporary
Paper 072-23: Paul Grant
Simplifying Complex Character Comparisons by Using the IN Operator and the Colon (:) Operator Modifier
Paper 073-23: Arthur L. Carpenter
Deciphering the _TYPE_ Variable in MEANS and SUMMARY Output Data Sets
Paper 074-23: Jiyuan Wu
Generating Customized Reports Using the INPUT Statements
Paper 075-23: Arthur L. Carpenter
Better Titles: Using The #BY V AR and #BY V AL Options
Paper 076-23: Paul Grant
The 'SKIP' Statement
Paper 077-23: Ray Pass
What We Really Need is a %By Statement
Paper 078-23: Karen Dudley
Creating a Flexible Parameter Driven Reporting Program Using Global Variables
Paper 079-23: Pei-Chun T. Wan
Automatic Referencing SAS Macro Variables Using Array Processing, CALL SYMPUT Routine and DO Loops
Paper 080-23: Jeff F. Sun
Update A T wo-Dimensional Matrix Using The Macro Facility
Paper 081-23: Robert Graebner
Generating SAS Source Code with SAS Macros
Paper 082-23: Mel Widawski
A General Purpose Macro to Obtain a List of Files: Plus Macro Programming T echniques
Paper 083-23: K. Larry Landers and Monique Bryher
T aking the Mystery out of SAS Macro When Using CALL SYMPUT
Paper 084-23: Demetris Papaiacovou
Successful Data Warehousing for Telecommunications Business Solutions (The Philos Method)
Paper 085-23: Marge Scerbo
The ABCs of MDDBs
Paper 086-23: Maria Lupetin
A Data W arehouse Implementation Using the Star Schema
Paper 087-23: Kim Foster
Enterprise Data Management — W arehouse Integration Solutions
Paper 088-23: James A. Cox and Tonya L. Etchison
Mining the Data Mart: A Case Study with Stock Market Data
Paper 089-23: Tony R. Brown
Data W arehouse E f ficiency T echniques with the SAS System
Paper 090-23: Akbar Golmirzaie
Data Warehouse: How to Use SAS from Beginning to Almost Ending for Y our W arehouse
Paper 091-23: Roger E. Sanders
Accessing Data from Your PC Using Version 7 of the SAS System, Presented by Michael Ho, SAS Institute Inc.
Paper 092-23: Anthony M. Dymond
Data Extraction Methods in Medium and Large Databases
Paper 093-23: Clare Somerville and Clive Cooper
Optimizing SAS Access to an Oracle Database in a Large Data Warehouse
Paper 094-23: William J. Glosenmeyer
Enhanced Data Support Methodology (EDSM): Using Technology for Competitive Advantage for Managed Health Care
Paper 095-23: Martin J. Rosenberg
Using the Data Warehouse Model to Streamline and Accelerate New Drug and Medical Device Development
Paper 096-23: Monique Bryher
Monitoring a Cohort of Blood Donors and Recipients Using SAS/AF Frame
Paper 097-23: Christine C. Kelly and Michael B. Smart
Dun & Bradstreet: Using SAS Software to Solve Customer Purchasing Problems
Paper 098-23: John E. Bentley
A Data Access Challenge: Build a SAS Frame Application for Access to an Informix Data W arehouse
Paper 099-23: Eric Simms and Jerry Kagan
T aking an HTML Snapshot of a Data W arehouse: Just Sa y , Cheese!
Paper 100-23: Jim Davis
Data W arehousing and the W eb
Paper 101-23: Charles W. Bininger
A Guide to Managing a SAS Data W arehouse for Use Across an Intranet
Paper 102-23: Art Rerecich
W -O- W : Data W arehouse, SAS/OR and the W eb
Paper 104-23: Peter R. Welbrock
Is Your Data Warehouse Successful? Developing a Data Warehouse Process That Responds to the Needs of the Enterprise
Paper 105-23: Di Meng and Charlie Bastnagel
Building Your Own SAS Data Warehouse and Developing a Tool Set for Managing It
Paper 106-23: Cathy Phipps and Jim Davis
E f fective Use and Management of Metadata
Paper 107-23: Glen Payne
Does a Data W arehouse Deliver the Goods?
Paper 108-23: Roger Williams
Using SAS/CONNECT to Control a Distributed Application
Paper 109-23: John T. Stokes and Roger Thompson
Building the Framework for Enterprise Data Analysis in the Semiconductor Industry
Paper 110-23: Terry L. Lewis
Enhancements to SAS/ W arehouse Administrator
Paper 111-23: Mel Widawski
A Flexible System for Conversion of DBF T ables into SAS
Paper 112-23: Vino Gona and Jana Van Wyk
V ersion 7 Enhancements to SAS/ACCESS Software
Paper 113-23: Sharon Kromhout-Schiro, Rose M. Reedy, Rob Lenderman, James Zadinsky, and Vicki Harp
Clinical Warehouse Enhancement: A Methodology for Linking Heterogeneous Databases
Paper 114-23: Ding Alonzo and Albert Alva
Developing Risk-Adjustment Models Using SAS Software: An Application in Home Health Care
Paper 115-23: Carol Rigsbee
The Future Interface to the SAS System for PCs — A First Glance SUGI
Paper 116-23: Hans Hulpiau
Unlocking the SAP/R3 System using SAS/ACCESS to SAP/R3: A Practical Experience
Paper 117-23: Kimberly J. LeBouton
Implementing SAS Business Solutions: Experiences of a T raditional SAS Programmer
Paper 118-23: Jan J. M. Roording and Steven F. M. J. van Agt
Data W arehouse Administration: An Urgent Need for T echnology to Emerge!
Paper 119-23: Jeff F. Sun
A Revolution? Development of Dynamic and Hypertext Linked Reports with Internet T echnologies and SAS System
Paper 120-23: Vincent L. Timbers
SAS/AF FRAME Entries: A Hands-on Introduction
Paper 121-23: Deb Cassidy
Introduction to the Basics - A voiding Some Pitfalls
Paper 122-23: Ray Pass and Daphne Ewing
So Y ou're Still Not Using PROC REPO R T . Why Not?
Paper 123-23: Daphne Ewing and Ray Pass
So Now Y ou're Using PROC REPO R T . Is It Pretty?
Paper 124-23: Mickey Waxman and Larry Hoyle
A Hands-on Introduction to Creating Dynamic W eb Pages
Paper 126-23: Jennifer Clegg and Gary J. Mehler
The SAS System under W indows, V ersion 7
Paper 127-23: Sunil K. Gupta, Kirk Paul Lafler, and Charles E. Shipp
Preparing SAS Software Applications for the Y ear 2000
Paper 128-23: Linda P. Atkinson
An Introduction to SAS/ASSIST Software
Paper 130-23: Rosalind K. Gusinow and J. Michael Miscisin
An Introduction to PROC SQL
Paper 131-23: Kirk Paul Lafler
T en Great Reasons to Learn SAS Software's SQL Procedure
Paper 132-23: Steven First
SAS Macros V ariables and Simple Macro Programs
Paper 133-23: Sally Muller, Caroline C. Bahler, Dave Doolittle, and Arturo Barrios
SAS and W eb Publishing — W isdom for the W eb Challenged
Paper 136-23: Jason Thomas
Developing W eb Applications with htmSQL
Paper 137-23: C. Olivia Rud
Statistical Presentations Using the Power of PROCTABULATE
Paper 138-23: Dave DesJardins
A Revolution in Data Analysis: How New, Very Powerful, Easy to Use, Graphical Data Analysis Tools and Techniques Can Empower Even Novice Subject Matter Specialists
Paper 139-23: Himesh Patel
Using SAS/GRAPH Software to Create Graphs on the W eb
Paper 140-23: Paul Wehr
Building Clinical Information Spaces on the W orld W ide W eb
Paper 141-23: Terry Allen and Glen Buckner
Visually Detecting Fraudulent Doctors in the Medicaid Program Using SAS/GRAPH Software
Paper 142-23: Joel J. Gruenke
Individual Summaries: Bigger Needles in Smaller Haystacks
Paper 143-23: Jeanne Spicer
Delivering Geographic Information: For Those Who Can't Read a GMAP and W on't Stop to Ask for Directions
Paper 144-23: LeRoy Bessler
Chart Smart: Design Graphs to Inform and Influence
Paper 145-23: Sanjay N. Matange, James Beamon, and Cynthia L. Huffman
Multidimensional Data V isualization T ools
Paper 146-23: Robert Vierkant
Creating Scatterplot Matrices using SAS/GRAPH Software
Paper 147-23: Jeff F. Sun
A Generalized Macro-Based Data Reporting System to Produce Both HTML and T ext Files
Paper 148-23: Edward Tasch and Stacy Buffington
Becoming " W eb Enabled" with SAS/IntrNet Software
Paper 149-23: Steve Noga and Jeff Abolafia
The T ABUL A TE Procedure: One Step Beyond the Final Chapter
Paper 150-23: Susan J. Kenny
How Not to Hate Annotate
Paper 152-23: James E. Duarte
How SAS Has Impacted History or A 25 Y ear A f fair with the Semicolon
Paper 153-23: David A. Dorr and Mae Gordon
Graphically Conquering the SF-36: A Tool for Illustrating Subscale by Group Over T ime Using SAS/GRAPH Software
Paper 154-23: Donald J. Henderson
SAS/IntrNet Software: A Road Map
Paper 156-23: Barbara Walters and Don Chapman
Overview of Java Components and Applets in SAS/IntrNet Software
Paper 157-23: Di Meng
Open the Information W indow of Your SAS Data Warehouse: A W EB Information Center Powered by SAS
Paper 158-23: Arline Loh and Sheila Hobeck
Working T oward a Paperless Office Web Migration of SAS Reports
Paper 159-23: Chip Kelly
Java for Competitive Advantage
Paper 160-23: James Sun
Update HTML Formatted SAS Output within W eb Browser
Paper 161-23: Paul J. Ratnaraj
Managing Large Financial Data with the SAS System and the WEB: The Sequel
Paper 162-23: Steven L. Willhoite, John P. Campbell, and George Orr
Three W ays to Utilize the SAS/IntrNet Application Dispatcher
Paper 164-23: Lingxiao Li and Art Barnes
Data V isualization Using Java and VRML
Paper 165-23: Faith Reneé Sloan
SAS/IntrNet Software: JConnect and Jtunnel Dance with SAS/CONNECT Software
Paper 166-23: Vecdet Mehmet-Ali
A Dynamic Web Application: Using SAS/IntrNet and W eb Publishing Software
Paper 168-23: Kimberly S. Blair
Using Macros to Produce Multiple T ime Series Graphs
Paper 169-23: Baibai Chen and Cynthia A. Kleeberger
SAS Macro to Determine Rates of Change in Markers of HI V -1 Disease Progression
Paper 170-23: Ronald Fehd
%COMPARWS: Compare with Summary: A Macro Using PROC COMPARE to W rite a File of Di f ferences to Edit and Use for Updates
Paper 171-23: Christopher A. Roper, Michael Gilman, and Gina Thomas
A Methodology for Developing SAS Applications for Use in Multiple Languages
Paper 172-23: Hugh Geary
Enhancing SAS Output T ables with W ordPerfect
Paper 173-23: Annie Guo
An Investigation of the Efficiency of SQL DML Operations Performed on an O RACLE DBMS using SAS/ACCESS Software
Paper 174-23: Louise S. Hadden and Jim McIntosh
All Zipped Up and Nowhere to Go
Paper 175-23: Cecil Hallum and Melinda Miller
A GUI for Enhanced Insight into Data in a University Setting: SAS/EIS and SAS/AF Frame to the Rescue
Paper 176-23: Paul Johnson
Improving the Rainbow Test: A Macro to Measure the Lack of Fit in Multiple Regression with the Use of the Bootstrap
Paper 177-23: Francis J. Kelley
A Macro to Generate All Combinations of n Items Taken k at a Time (How It Was Designed and Written, and How It Might Be Adapted to Other Uses: A Programming Example)
Paper 178-23: Connie X. Li and James Sun
Using Hyperlink to Organize SAS HTML Output
Paper 179-23: Dayong Li and Huanhong Xia
Convex Hull T est for Ordinal Categorical Data Using the SAS System
Paper 180-23: Chondra M. Lockwood and David P. MacKinnon
Bootstrapping the Standard Error of the Mediated E f fect
Paper 181-23: Sheng Luo and Xinsheng Lin
Further Discussion of Summarizing Impossibly Large SAS Data Sets
Paper 182-23: Heidi Markovitz
Are Y ou a Commander or a Mouser?
Paper 183-23: Sean W. Mulvenon and M. Austin
Betz Using SAS for Statistical Modeling: Monte Carlo Simulations
Paper 184-23: Julie W. Pepe
PROC T ABUL A TE using a Categorical and Numerical V ariable
Paper 185-23: Jamie Perrett
Macros & Matrices: Using the IML Procedure to Access T abular Information
Paper 186-23: Amy Roehrig
Rapid Application Development of a Decision Support System Using Object Oriented Programming
Paper 187-23: Jonathan Stokes
Using Java to Front SAS Software: A Detailed Design for Internet Information Delivery
Paper 188-23: Helen-Jean Talbott and Earl Westerlund
How to Sort Production Reports Prior to Printing
Paper 189-23: David Trenery
Taking the Drudgery Out of Data Checking: Automatic Data Validation Using FORMATS to Validate Data, PROC DATASETS to Drive the Process and MACROS to Hang It All T ogether
Paper 190-23: Lisa P. Wayte
PROC T ABUL A TE: A T ool for Evaluating Performance
Paper 192-23: John Q. Zhang
A SAS Macro that Creates Numeric Decimal Formats
Paper 194-23: LeRoy Bessler
Smart Color for Powerful V isual Communication in Y our Applications
Paper 205-23: Honghu Liu
Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization
Paper 196-23: John E. Ellis
The T ask Output Framework: An Object Oriented T ool for Application Development
Paper 197-23: James Handsfield
CHEKOU T : A SAS Program to Screen for Outliers
Paper 198-23: Timothy J. Harrington
The SAS Multidimensional Database Procedure
Paper 199-23: Lauren Haworth and Njeri Karanja
Proving it Works: Using PROC COMPARE to Verify an Analysis Converted into SAS Software
Paper 200-23: Anne Horney and Gail F. Kirk
One Bar Chart, T wo V ariables, Three Axes
Paper 201-23: Tom Hotard, Paul Johnson, and Tsai M. Lin
T ailoring Hard Copy Publications for the Internet
Paper 202-23: Tom Hotard
Mailing Labels in Minutes Using the SAS URL Access Method
Paper 203-23: Gail F. Kirk and Anne Horney
Exploring Multi-dimensional Relationships with SAS/GRAPH Software
Paper 204-23: Michael L. Lieber and Cindy Ashley
A SAS Macro Implementing an Extension of McNemar's T est for Clustered Data
Paper 205-23: Honghu Liu
Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization
Paper 206-23: Tracy L. Lord and Robert C. Pratt
Retrievals from DB2 BLOB (Binary Large Objects) Data W arehouse Using SAS
Paper 207-23: Sean W. Mulvenon and M. Austin
Betz Using a SAS Macro to Create Unique Statistical Output
Paper 208-23: William C. Murphy
Creating and Maintaining a Central SAS Library for Health Care Management
Paper 209-23: Judy Palermo
Purge Those MERGE Problems: Realistic Solutions for Accurate and More Complete Matching of Inexact Data Fields that Occur in the Everyday W orld
Paper 210-23: James Ryan
Analysis of the National Endowment of the Arts Using SAS/S T A T Software
Paper 211-23: Barbara Schneider
PROC UNIVARIATE and PROC TABULATE — A Powerful Duo to Produce Descriptive T ables Including Non-parametric Estimates
Paper 212-23: Pippa M. Simpson, Merlin Hamre, H. Spencer, and Y. Ravindranath
Using JMP Software to Get a Jump on Childhood Leukemia by Modeling Assay Data
Paper 213-23: Michelle L. Smith
Using SAS/IntrNet and the WWW to Develop an Executive Information System-University Application
Paper 214-23: Stephen B. Taubman
Moving Data Between SAS and FAME
Paper 215-23: Kyle E. Thomas, Art Alexander, and Aamer Raza
An Interactive Graphical Interface for Hierarchical Classification of Data Generated through Individual Particle Analysis
Paper 216-23: Shi-Tao Yeh
SAS Software G3D Animation and Graphic V iewer System
Paper 218-23: Pamela J. Atherton
Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System
Paper 219-23: Donna O. Fulenwider, Randall D. Tobias, and Robert N. Rodriguez
SAS System T ools for Design and Analysis of Experiments
Paper 220-23: Richard Severino
How to Use SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves
Paper 221-23: Pippa M. Simpson, Prudence R. Phillips, Shelly Lensing, and Robert M. Hamer
Reliably Assessing Reliability with SAS Software
Paper 222-23: Ernest S. Shtatland and Mary B. Barton
An Information-Gain Measure of Fit in PROC LOGISTIC
Paper 223-23: Robert M. Hamer and Pippa M. Simpson
Assessing Dose-Response Information in Phase III Clinical Trials or . . . Why Y ou Shouldn't Believe the Dosing Information on the Label
Paper 224-23: Sudhanshu K. Ghoshal
Multivariable Cox Proportional Hazard Model by SAS PHREG & Validation by Bootstrapping Using SAS Randomizers W ith Applications Involving Electrocardiology and Organ T ransplants
Paper 225-23: Jeff A. Sloan, Paul J. Novotny, and Charles L. Loprinzi
Analyzing Quality of Life (QOL) Endpoints in Clinical T rials via the SAS System
Paper 226-23: Bharat K. Thakkar, Kwan Hur, William G. Henderson, and Charles Oprian
A Method to Generate Kaplan-Meier and Adjusted Survival Curves Using SAS
Paper 227-23: Richard M. Mitchell
Reporting Results of Multiple Logistic Regression Models Depending on the A vailability of Data
Paper 228-23: Peter Gaccione and M.S. Blanchard
Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief T utorial Using SAS Software
Paper 229-23: S. Paul Wright
Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief T utorial Using SAS Software
Paper 230-23: Arnold M. Saxton
A Macro for Converting Mean Separation Output to Letter Groupings in PROC MIXED
Paper 231-23: Maribeth Johnson and Pete Davis
The E f fect of Missing Data on Sample Sizes for Repeated Measures Models
Paper 232-23: Part I: Maura E. Stokes and Robert N. Rodriguez
Recent Enhancements and New Directions in SAS/S T A T Software, Part I: Updates
Paper 232-23: Part II: Robert N. Rodriguez and Maura E. Stokes
Recent Enhancements and New Directions in SAS/STAT Software, Part II: Nonparametric Modeling Procedures
Paper 233-23: Chris R. Olinger and Randall D. Tobias
ODS for Data Analysis: Output As- Y ou-Like-It in V ersion 7
Paper 235-23: Jun Zuo
Examining Cointegration Among Time-Series Variables: Household Savings Pattern in the U.S. (1981–1995)
Paper 236-23: Gregory L. Pearce and Peter H. Westfall
Resampling with PROC MULTTEST: Providing Tools for Cardiac Surgeons to Identify Clinical Practice Improvement Opportunities
Paper 237-23: Jose G. Ramirez, Brenda S. Cantell, and Randall Collica
Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions
Paper 238-23: Chikuma Hamada and Junji Kishimoto
Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST
Paper 239-23: Marc-david Cohen, Hong Chen, Yang Yuan, and Fredrick Wicklin
New Features in SAS/INSIGHT for V ersion 7
Paper 240-23: Jose A. Santos, Lawrence Lippke, and Paul Pope
PROC F AC T OR: A T ool for Extracting Hidden Gems from a Mountain of V ariables
Paper 241-23: Sam Harris
SAS Risk Analysis Environment
Paper 242-23: Ralph G. O'Brien
A T our of UnifyPow: A SAS Module/Macro for Sample-Size Analysis
Paper 243-23: Flavio Addolorato, Luigi Ferrari, Luigi Guastalla, and Luca Bodio
Behind Marketing Data in Financial Industry
Paper 244-23: Pavel Brusilovskiy and Robert Hernandez
Data Mining and Decision Support for Operational Problems Solutions in the Railroad Industry
Paper 245-23: Scott D. Grimshaw and Gilbert W. Fellingham
Statistical Development Using SAS/ T OOLKIT Software
Paper 246-23: John G. Stiller and Donald R. Dalzell
Hot-deck Imputation with SAS Arrays and Macros for Large Surveys
Paper 247-23: Anthony B. An and Donna L. Watts
New SAS Procedures for Analysis of Sample Survey Data
Paper 248-23: Mark Nicolich and Gail Jorgensen
Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals
Paper 249-23: Paul R. Coe
A SAS Macro to Calculate Exact Confidence Intervals for the Difference of T wo Proportions
Paper 252-23: Robert M. Romero and Dale Hamilton
The SAS System Powers W eb Measurement Solution at US W est
Paper 255-23: Lu Xu
Improving SAS Performance by Improving I/O Throughput of SAS W ork Directory
Paper 256-23: Steve Beatrous and Billy Clifford
Sometimes Y ou Get What Y ou W ant: SAS I/O Enhancements in V ersion 7
Paper 257-23: Michael A. Raithel
Ferreting Out Y ear 2000 Compliance Problems with PROC SOURCE
Paper 258-23: Ray L. Ransom and Sharon Mosley-Hixon
Client/Server Application Design Strategies for Small Development T eams
Paper 259-23: Gregory S. Barnes Nelson and Richard Swirski
Choosing the Right Platform for SAS Client/Server Applications
Paper 260-23: Cheryl Garner
New V7 Client/Server Capabilities to Solve and Secure Your Distributed Processing Needs
Paper 261-23: Paul Gilbert, Steven Light, and John Scott Grainger
Migration of SAS from VMS to W indows N T : A Real Life Story
Paper 262-23: Geradette Furlow
Installation Issues with the SAS System and Net W are 4
Paper 263-23: Holly Scholz
The Dynamic Duo: SAS Software and Dynamic Link Libraries (DLLs) — Capable of Anything!
Paper 264-23: Jennifer Clegg and Gary J. Mehler
The SAS System under W indows, V ersion 7
Paper 265-23: Gary J. Mehler
T aking Advantage of the SAS System under W indows NT
Paper 266-23: Gary J. Mehler
Integrating W indows Clients and the SAS System into the Enterprise
Paper 269-23: Bryan K. Beverly
Ten Steps Toward Realizing Your SAS Software W ish List (How To Present Your T echnical Needs in a Business Framework)
Paper 270-23: Michael L. Davis and Charles S. Patridge
Publish Paper Manuals No More!: An Introduction to Creating HTML Documentation
Paper 271-23: JoAnn R. Matthews
Creating a Home Page on the WWW for Your Local User Group An Unlimited Resource for Local User Group Recruitment Strategies
Paper 272-23: Robin E. Way
Care and Feeding of a Healthy SAS User Group
Paper 273-23: Peter Parker
Creating an ADP Center of Excellence: A Miltonian Approach of Looking Through T wo Decades of “ V isible Darkness”
Paper 274-23: Dana Rafiee and Helen Quinn
The Jobs and SAS Skills Used in the United States and Europe
Paper 275-23: Arthur L. Carpenter and Tony Payne
Programming for Job Security Revisited: Even More Tips and Techniques to Maximize Y our Indispensability
Paper 276-23: Kimberly A. Foster
Understanding Face Value — Giving Users What They Want . . . and Still Meeting Their Needs
Paper 277-23: Ginger Carey and Helen D. Carey
Becoming a SAS Master
Paper 278-23: Russell Newhouse
Getting the User Community Involved in Education and Information Sharing
Paper 279-23: John M. LaBore and Janette E. Thomas
Leveraging Resources to Maximize SAS and JMP Support