SAS Global Forum Proceedings / SUGI 27 2002

Paper 001-27: David Shannon
    To ODS RTF and Beyond

Paper 002-27: Frederick Pratter
    Beyond HTML: Using the SAS® System Version 8.2 with XML

Paper 003-27: Eric Gebhart
    ODS Markup: The Power of Choice and Change

Paper 004-27: Pete Lund
    More Than Just Value: A Look Into Depths of PROC FORMAT

Paper 005-27: Koen Vyverman
    Using Dynamic Data Exchange to Export Your SAS® Data to MS Excel — Against All ODS, Part I

Paper 006-27: Michael L. Davis
    Reading from Alternate Sources: What to Do When the Input Is Not a Flat File

Paper 007-27: Sunil K. Gupta
    Using Styles and Templates to Customize SAS® ODS Output

Paper 008-27: Kirk P. Lafler
    Output Delivery Goes Web

Paper 009-27: Susan J. Slaughter, Sy J. Truong, and Lora D. Delwiche
    ODS Meets SAS/IntrNet®

Paper 010-27: Todd Barlow
    Designing Web Applications: Lessons from SAS®User Interface Analysts

Paper 011-27: Henri Theuwissen and Nancy Croonen
    Table Look-up: Techniques Beyond the Obvious

Paper 012-27: Paul M. Dorfman and Gregg P. Snell
    Hashing Rehashed

Paper 013-27: Marje Fecht and Linda A. Walters
    Improve Your Queries: Hints and Tips for Using SQL

Paper 014-27: Frank C. DiIorio
    Writing the ‘Best’ Program: The How and When of Efficient Programming

Paper 015-27: Ronald P. Cody
    Longitudinal Data Techniques: Looking Across Observations

Paper 016-27: Ralph W. Leighton
    Some Uses (and Handy Abuses) of PROC TRANSPOSE

Paper 017-27: Arthur L. Carpenter
    Building and Using Macro Libraries

Paper 018-27: Andrew H. Karp
    Advanced Tips and Techniques with PROC MEANS

Paper 019-27: Andrew H. Karp
    Save Time Today Using SAS® Views

Paper 020-27: Andrew H. Karp
    Advanced Macro Topics

Paper 021-27: Arthur L. Carpenter and Richard Smith
    Library and File Management: Building a Dynamic Application

Paper 022-27: Craig K. Ray
    Large-scale System Development in Base SAS®

Paper 023-27: Curtis A. Smith
     Programming Tricks for Reducing Storage and Work Space

Paper 024-27: Roger D. Muller
     Optimizing SAS® Version 8 in a Windows Environment — from the User Interface to Automated Document Production

Paper 025-27: Kee Lee
     Accessing Microsoft Excel and Microsoft Access Through the Use of a Simple Libname Statement

Paper 026-27: Peter W. Eberhardt
     Rev Up Your Spreadsheets with Some V8 Power

Paper 027-27: Hung X. Phan, Lori A. Guido, and Richard A. Denby
     U.S. Census Bureau Goes OLAP

Paper 028-27: Mary F. Katz and Bob V. Roo
     Web-enabling a Client/Server OLAP Application Using SAS/IntrNet® Software’s MDDB Report Viewer

Paper 029-27: Phil Rhodes
     Customizing the SAS/MDDB® Report Viewer

Paper 030-27: Ahmed Rahman, Rosa Cabanela, and Priscilla Van Grevenhof
     Physicians Web Portal to Enterprise Information

Paper 031-27: Tammy Gagliano and Jeff Diamond
     Accessing the Version 9 OLAP Server from Java

Paper 032-27: Thomas Kunselman
     Feeding Data _NULL_ to the Lions: Bringing ODS MARKUP under the Big Top with Adobe Acrobat 5 Forms

Paper 033-27: Mark Lumsden and David Ostiguy
     Innovative Use of Web Application Technologies to Build a New SAS® Analytical Solution

Paper 034-27: Michael A. Riddle and Michael A. Litzsinger
     A Modular Approach to Portable Programming

Paper 035-27: Derek Morgan
     DISTRESS and PATCH: SCL to Support Remote Applications

Paper 036-27: Rich Main
     Introduction to AppDev Studio™ Version 3.0

Paper 037-27: Michael P. Bramley
     Combining Pattern-matching and File I/O Functions: A SAS® Macro to Generate a Unique Variable Name List

Paper 038-27: Karen L. Wyland
     Ask DSS … Using HTML, JavaScript, htmSQL, and SAS® to Create Dynamic Web Applications

Paper 039-27:Andrew S. Rosenbaum
     A Look at the Development Process for a SAS/IntrNet ® Application

Paper 040-27:Craig S. Austin
     Optional and Multi-select Parameters with SAS/IntrNet

Paper 041-27: Haiping Luo
    SAS® Software-to-Web Configuration: from Scratch to Final Products

Paper 042-27: Greg S. Barnes Nelson and Danny Grasse
    (Web) Software Development: Best Practices for Developing Enterprise Applications

Paper 043-27: Eric C. Brinsfield
     Avoiding Entanglements: Migrating Applications to the Web

Paper 044-27: Christopher A. Roper
     A Secure Online Data Validation & Collection System for HEDIS Survey Data

Paper 045-27: Soora Wi
     SAS/AF ®: It’s Not What It Used to Be!

Paper 046-27: Bernd E. Imken
     Developing Master/Detail Applications Using Form & Table Viewers

Paper 047-27: Scott Leslie and Tammy Gagliano
     Exploiting SAS/AF ® Software from a Web Client

Paper 048-27: Barry R. Cohen
     User Interface Tool Choice and Audit Trail Tool Choice for a SAS® Based Data Entry/Verify System for Clinical Trials Data

Paper 049-27: Tony Fisher
     Data Quality — The Fuel That Drives the Business Engine

Paper 050-27: Neil Howard
     DATA Step Essentials

Paper 051-27: Marge Scerbo
     Tips for Manipulating Data

Paper 052-27: Andrew T. Kuligowski
     How to Incorporate Old SAS®Data into a New DATA Step, or What Is S-M-U?

Paper 053-27: Craig Dickstein and Ray Pass
     DATA Step vs. PROC SQL: What’s a Neophyte to Do?

Paper 054-27: Terry Fain and Cyndie Gareleck
     Mouse-clicking Your Way to Viewing and Manipulating Data with Version 8 SAS®

Paper 055-27: Deborah B. Buck
     Summarizing Data with Base SAS® PROCs

Paper 056-27: Jack N. Shoemaker
     PROC FORMAT in Action

Paper 057-27: Ronald P. Cody
     Data Cleaning 101

Paper 058-27: Sunil K. Gupta
     Quick Results with the Output Delivery System

Paper 059-27: Sandra Schlotzhauer, J. Meimei Ma, and Maria Ilieva
     Quick Results in PROC REPORT

Paper 060-27: Lauren E. Haworth
     Anyone Can Learn PROC TABULATE

Paper 061-27: Caroline C. Bahler and Eric C. Brinsfield
     Report Creation Used Data _NULL_

Paper 062-27: Jeff Cartier
     The Basics of Creating Graphs with SAS/GRAPH® Software

Paper 063-27: Rick M. Mitchell
     Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS® Programmer and a Statistician

Paper 064-27: Roger Staum
     To Err Is Human; to Debug, Divine

Paper 065-27: Marje Fecht and Larry Stewart
     Don’t Be a Slave to Your SAS® Programs

Paper 066-27: Stephen A. Keelan
     Off and Running with Arrays in SAS®

Paper 067-27: Ian Whitlock
     SAS® Macro Design Issues

Paper 068-27: Frank C. DiIorio
     Program Comprehension: A Strategy for the Bewildered

Paper 069-27: Randall Cates and Bob Tremblay
     What’s in a Name: Describing SAS® File Types

Paper 070-27: Timothy J. Harrington
     An Introduction to SAS ® PROC SQL

Paper 071-27: Thiru Satchi
     Using the Magical Keyword ‘INTO:’ in PROC SQL

Paper 072-27: Kirk P. Lafler
     A Visual Introduction to SQL Joins

Paper 073-27: Paul D. Sherman
     Creating Efficient SQL — Four Steps to a Quick Query

Paper 074-27: JoAnn Matthews
     A Very Powerful Resource for SAS® Users Worldwide

Paper 075-27: Xinyu Ji
     How to Link Records Matching on at Least m Out of n Identifying Keys

Paper 076-27: Rick M. Mitchell
     Fast and Easy Ways to Check Your Work: Using PROC MEANS to Confirm Continuous Variable Categorizations

Paper 077-27: Frank A. Ferriola, Jr.
     What’s Your _TYPE_? How to Find the CLASS You Want in PROC SUMMARY

Paper 078-27: Marianne L. Whitlock
     Let Summary Sum and Tabulate Format

Paper 079-27: Ya Huang
     Taking Advantage of Missing Values in PROC SQL

Paper 080-27: Xingshu Zhu and Shuping Zhang
     A New Method to Estimate the Size of a SAS® Data Set

Paper 081-27: Yefim Gershteyn
     Macro for Restoring SAS® Transport Files

Paper 082-27: Derek Morgan
     Using the FILEVAR= Option for Input and Output

Paper 083-27: John R. Gerlach and Simant Misra
     Splitting a Large SAS® Data Set

Paper 084-27: Subrahmanyam Pilli, Luai R. Alzoubi, and Kent Nassen
     Using the Contents of PROC CONTENTS to Perform Multiple Operations Across a SAS® Data Library

Paper 085-27: Catherine A. Lindsey
     Stop Madly Merging: PROC PRINT to the Rescue!

Paper 086-27: Timothy M. Muir
     Powerful Techniques for Data Processing Using Formats

Paper 087-27: Robert R. Patten
     Merging Flat Files Directly

Paper 088-27: Doug Zirbel
     Finally — An Easy Way to Compare Two SAS® Files!

Paper 089-27: Jonathan D. Mahnken
     Many-to-Many Merging Using the SAS® Macro Facility

Paper 090-27: Robert Burnham, Bill Marble, and Kathryn Sabadosa
     Secret Tools of the Ad Hoc Programmer

Paper 091-27: Lawrence Altmayer
     Graphing Them Together: Overlaying Plots with Macros and SAS/GRAPH®

Paper 092-27: David H. Johnson
     Your Shingle in SAS/GRAPH®

Paper 093-27: LeRoy Bessler and Francesca Pierri
     %TREND: A Macro to Produce Maximally Informative Trend Charts with SAS/GRAPH ®, SAS®, and ODS for the Web or Hardcopy

Paper 094-27: Wei Cheng
     What Does the Style Definition Look Like?

Paper 095-27: Tim P. Williams
     A Version Control Kluge for SAS® Programs — Using SAS!

Paper 096-27: Carey G. Smoak
     A Utility Program for Checking SAS® Log Files

Paper 097-27: Bruce Spotts
     A Macro to Help with Accurate Output Documentation

Paper 098-27: Vanessa C. Hayden
     Bulletproofing Your SAS® Results

Paper 099-27: Pete Lund
     A Quick and Easy Data Dictionary Macro

Paper 100-27: Arthur L. Carpenter
     Macro Functions: How to Make Them — How to Use Them

Paper 101-27: Venky Chakravarthy
     Have a Strange Date? Create Your Own INFORMAT to Deal with Her

Paper 102-27: Ted Conway
     A Better Desktop Than Windows: Using Excel to Organize, View, Launch and Document SAS® Programs

Paper 103-27: Derek Morgan and Michael Province
     Simplifying SAS® Security

Paper 104-27: Michael J. Yee
     Seeing Red: Tips for Debugging the SAS® DATA Step

Paper 105-27: Ling Yun Chen and Steven A. Gilbert
     Run All Your SAS® Programs in One Program: Automatically

Paper 106-27: Charles vanWynbergen
     No Task Before Its Time: Schedule Your Jobs with Robot Code

Paper 107-27: John E. Bentley
     Passing Values to a Remote Multi-process SAS/CONNECT ® Session

Paper 108-27: Fereydoun Foroudian
     Guide to Extract/Download Multiple Databases from Mainframe Tapes to PC Using PC SAS®

Paper 109-27: James C. Stokes
     SAS/CONNECT® Simply Stated

Paper 110-27: Pavel Brusilovskiy and Yillian Yuan
     Tree-based Models: Identification of Influential Factors under Condition of Instability

Paper 111-27: Bing Deng
     Data Mining in Quality Improvement

Paper 112-27: Andrew G. Storey and Marc-David Cohen
     Offer Optimization — Optimizing Cross-sell and Up-sell Opportunities in Banking

Paper 113-27: Leon L. Fedenczuk
     To Neural or Not to Neural? — This Is the Question

Paper 114-27: Junxiang Lu
     Predicting Customer Churn in the Telecommunications Industry — An Application of Survival Analysis Modeling Using SAS®

Paper 115-27: James H. Forsythe
     Using SAS® Enterprise Miner™ for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program

Paper 116-27: Steven Light and Paul Gilbert
     Using SAS® ODS to Enhance Clinical Data Summaries: Meeting eSub Guidelines

Paper 117-27: Patrick M. McGown
     Using SAS® ODS to Create Adobe PDFs from SAS/GRAPH® Output

Paper 118-27: Julie A. Inglish
     How ODS Simplified Our Web-based Clinical Trial Reports

Paper 119-27: Chuanchieh Hsu, Zhongwei Zhou, and James M. Hardin
     An Useful Chart to Display Adverse Event Occurrences in Clinical Trials

Paper 120-27: David D. Chapman
     Using PROC REPORT to Produce Tables with Cumulative Totals and Row Differences

Paper 121-27: Aileen D. Bennett
     All Things to All People: A User-defined Report in SAS/AF®

Paper 122-27: David L. Wang and M. Azharul Islam
     A New User’s Journey in Using PROC IMPORT and ODS: An Application in the Electricity Market

Paper 123-27: Darren Key and David Shamlin
     Using SAS® Data to Drive Microsoft Office

Paper 124-27: Andrew H. Karp
     Communicating the Results of Predictive Models to Non-technical Audiences

Paper 125-27: Perry Watts
     Using ODS and the Macro Facility to Construct Color Charts and Scales for SAS® Software Applications

Paper 126-27: Tugluke Abdurazak
     Using SAS® Macros to Create Automated Excel Reports Containing Tables, Charts and Graphs

Paper 127-27: Jay Zhou
     Output Generating System — A Tool for Creating Tables and Listings in Word

Paper 128-27: Sandy McNeill
     What’s New in the Output Delivery System, Version 9

Paper 129-27: Curtis A. Smith
     Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH® and the Output Delivery System

Paper 130-27: Karen L. Wyland
     Use Your Web Site to Document Your Web Site

Paper 131-27: Larry Hoyle
     Self Serve Census Data for Neighborhoods and Other Custom Aggregations: A SAS/IntrNet® Application

Paper 132-27: Pete Lund and Dave Bendemire
     Web-based Tracking of the WA State Medicaid Caseload

Paper 133-27: Dan Bruns and Ray Pass
     Battle of the Titans: REPORT vs. TABULATE

Paper 134-27: Thomas Kunselman
     TAGSET You’re It! Using ODS MARKUP to Create Pre-filled HTML Form Tags

Paper 135-27: James D. Gilbert
     Seeing Graphical Representations Clearly to Avoid Eye Strain

Paper 136-27: Debbie Miller
     Using SAS® Graphics Capabilities to Display Air Quality Data

Paper 137-27: Himesh Patel
     Enhancements to SAS/GRAPH® in V9

Paper 138-27: Jeffery D. Gilbert
     Creating Maps in SAS/GRAPH

Paper 139-27: LeRoy Bessler
     Inform and Influence with Image and Data: Communication-effective Web Design for ODS, SAS®, and SAS/GRAPH®

Paper 140-27: Eric C. Brinsfield and Caroline C. Bahler
     Visualizing Patterns with Scrollable Web Graphics

Paper 141-27: Steve Morton
     Data Warehousing — What’s It All About? Learning to Walk in Seven League Boots

Paper 142-27: Wolfgang Hofbauer
     The Benefits of Data Warehousing for an Insurance Company

Paper 143-27: Gary Mehler
     Data Warehousing for the Enterprise

Paper 144-27: Anthony M. Dymond
     The Knowledge Warehouse: The Next Step Beyond the Data Warehouse

Paper 145-27: Luis F. Soriano
     Analyze the Stock Market Using the SAS® System

Paper 146-27: Fritz Lehman
     Strategic Procurement: The SAS® Solution for Supplier Relationship Management

Paper 147-27: Mary K. Tucker
     Data Warehousing in the Modern World: A Case Study Revisited

Paper 148-27: Jonathon Hagerman
     The Joy of Table-driven Information Delivery Systems

Paper 149-27: Richard A. Denby and Lori A. Guido
     MDDBs, HOLAP, Override Methods, SCL: What Worked and Did Not Work for the Review of Census 2000 Data

Paper 150-27:Teresa L. Grimes and Heidi L. Clark
     Migrating a Publicly Available Web Database to a SAS® Solution: Building Multidimensional Databases (MDDBs)

Paper 151-27:Gady Kotler
     From Data Warehouse to Reports Warehouse

Paper 152-27:Faron Kincheloe
     From Manual to Automatic with Overdrive — Using SAS® to Automate Report Generation

Paper 153-27:Jenine Eason, Jerry Johannesen, Lars Olufsen, Jeff Chang, and Brad Goldman from Chevette to Corvette

Paper 154-27:Don Koch, John Brocklebank, and Richard Roach
     Mining Web Server Logs: Tracking Users and Building Sessions

Paper 155-27:Garth W. Helf
     Can’t Relate? A Primer on Using SAS® with Your Relational Database

Paper 156-27:Aiman Zeid
     From the Tactical to the Strategic: Transforming Data Into Knowledge for Use in an Enterprise Performance Management System

Paper 157-27:Don Henderson, Gary Young, and Ralph Mittl
     Balanced Scorecards: The Integration Point between Enterprise Information and Performance Monitoring

Paper 158-27:Phil Nousak and Rob Phelps
     A Scorecard Approach to Improving Data Quality

Paper 159-27:Huiyun Xiang
     Easy Access to Public Health Data Colorado Health Information Dataset (CoHID)

Paper 160-27:Vanessa C. Hayden
     Unit-of-Analysis Programming

Paper 161-27:Lori L. Sipe and Qing Chen
     Creating a Web-based Application Utilizing JSP and SAS® JAVA BEAN

Paper 162-27:Heather E. DeMartino
     Keeping Form Data from Falling into the Bit Bucket with webAF

Paper 163-27:Don Henderson
     SAS® Solutions and Emerging Technologies: An Oxymoron or Intuitively Obvious? You Decide

Paper 164-27:Kevin McGowan
     Using Visual Basic to Customize a Set of SAS® Reports

Paper 166-27:Sigurd W. Hermansen
     Data Socket Adapters

Paper 167-27:Keith Collins
     Futures Forum

Paper 168-27:Chris Smith
     Using SAS® in a Distributed Computing Environment

Paper 169-27:Paul A. Thompson, Sarah Littlewood, and Avril J. Adelman
     The Web Data Entry System: Methods for Web Development and SAS® Data Management

Paper 170-27:Larry D. Bramblett
     IDW — The Next Generation Data Warehouse

Paper 171-27:Xiao Chen and Michael N. Mitchell
     Tools for Sharing SAS® Macros Over the Internet

Paper 172-27:Rob Stephens
     Introducing the SAS® Business Intelligence Platform

Paper 173-27:Jennifer R. Sinodis and Mark Moran
     Let SAS® Build Your Dynamic Web Site from the Data!

Paper 174-27:Vincent DelGobbo
     Techniques for SAS® Enabling Microsoft Office in a Cross-platform Environment

Paper 175-27:Clarke Thacher
     Advanced UNIX and VMS Server Architectures and Their Impact on SAS® Version 9

Paper 176-27:Duane Ressler
     V9 OLAP — An Architectural Overview

Paper 177-27:Scott E. Chapal
     Using Java, SAS® and XML to Integrate Handheld Data Acquisition with Data-management Web Services

Paper 178-27:Jack Hamilton
     An Application of ODS TAGSETs

Paper 179-27:Anthony Friebel
     at SAS® — A More Capable XML Libname Engine

Paper 180-27:Michelle Ryals
     Empowering Better Decisions with the Use of Metadata

Paper 182-27:Vincent L. Timbers
     Connecting the SAS® System to the Web: A Hands-on Introduction to SAS/IntrNet ® Application Dispatcher

Paper 183-27:Marje Fecht
     Making the Most of Version 8 Features

Paper 184-27:Larry Stewart and Marje Fecht
     Tips and Tricks for Easier Reporting

Paper 185-27:Daphne E. Ewing
     Macros: Data Listings with Power

Paper 186-27:Lauren E. Haworth
     SAS® with Style: Creating Your Own ODS Style Template

Paper 187-27:Ray Pass and Sandy McNeill
     PROC REPORT: Doin’ It in STYLE!

Paper 188-27:Dan Bruns
     The Simplicity and Power of the TABULATE Procedure

Paper 189-27:Ray Pass and Sandy McNeill
     PROC TABULATE: Doin’ It in STYLE!

Paper 190-27:Koen Vyverman
     Creating Custom Excel Workbooks from Base SAS® with Dynamic Data Exchange: A Complete Walkthrough

Paper 191-27:Steven First and Katie Minten Ronk
     An Introduction to PROC SQL

Paper 192-27:Michael A. Mace
     %WINDOW:You Can Talk to the Users, and They Can Talk Back

Paper 193-27:Steven A. Wilson
     Getting Started with SAS/AF® Software

Paper 194-27:Mazen Abdellatif, Robert G. Anderson, and Domenic J. Reda
     Automating the Building of 2nd and 3rd Order Interactions and the Construction of Hierarchical Logistic Regression Models

Paper 195-27:Sandra L. Aker
     Table Look-up Using Techniques Other Than the Matched Merge DATA Step

Paper 196-27:Rachel A. Baker and Anthony T. Baker
     Web Implementation of Environmental Decision-making Software

Paper 197-27:Mary A. Bednarski, Karen A. Clark, Elizabeth M. Hornbeck, and Mae O. Gordon
     Dynamic Data Retrieval Using SAS/IntrNet®

Paper 198-27:Wendy B. Dickinson
     Algorithmic Answers for a Dance School Dilemma

Paper 199-27:Robert G. Downer and Philip E. Hyatt
     Identifying Plant Species: A Botanical Analysis Using PROC DISCRIM

Paper 200-27:Lynette K. Duncan and James E. Dunn
     A Proportional Odds/Hazards Approach to Analyzing Likert Scale Data

Paper 201-27:John M. Ferron, Kristine Y. Hogarty, Melinda Hess, Jeanine Romano
     A Macro for Examining the Consequences of Error Structure Misspecifications

Paper 202-27:Diane E. Foose
     Report Macro — A Tool to Generate Flexible Summary Reports

Paper 203-27:Glenda A. Garner
     Transforming Single-record Spreadsheet Data into Multiple Observations

Paper 204-27:Bruce F. Gilsen and Scott Hoenig
     SAS® User Documentation: Web Page Design Made Easy

Paper 205-27:Lori A. Guido and Richard A. Denby
     The Differences in Developing an Interactive Review System in SAS® 6.12 OLAP and in SAS® 8.2 HOLAP

Paper 206-27:Ted J. Guo and Feng Zhou
     Regulatory Review of Animal Carcinogenicity Studies Using SAS/IntrNet®

Paper 207-27:Louise S. Hadden
     New SAS® V8 Tricks for Old SAS® V6 Dogs: Tips from the Command Line

Paper 208-27:Chris S. Hord and Jay Zhou
     SAS® Macros to Help Relieve Common Program Documentation Pain

Paper 209-27:Lara K. Jungvig
     Comparing Macros to Arrays to Simple Code for Input Statements: A Visual Display for the Novice SAS® Programmer

Paper 210-27:Scott Lacey and David Meade
     Constructing and Publishing Wafer Maps on the World Wide Web Using Version 8 of the SAS® System

Paper 211-27:Tracy L. Lord
     Web-based Reporting of Network Fault Data with the SAS® System

Paper 212-27:Zaizai Lu and David Shen
     Dynamic Data Matching in Clinical Trial Research

Paper 213-27:Andy Mauromoustakos and Kevin C. Thompson
     Applied Geostatistics with JMP®

Paper 214-27:Shabnam Mehra, Robyn Spittle, Becky Larsen, Diane Haynes, and Kathy Dailey
     SPAN SPAN AWAY! Creating One Unique Record for Overlapping Admissions and Discharges from Multiple Inpatient Hospital Stays

Paper 215-27:William C. Murphy
     Making Variables Less Variable: Standardizing SAS® Data Sets

Paper 216-27:Neal Musitano Jr
     OS/390 DASD I/O Drill Down Computer Performance Chart Using ODS SAS/GRAPH® & MXG Software

Paper 217-27:Robert Nelson and Janet Royalty
     A SAS/AF® Mainframe/PC File Transfer Application

Paper 218-27:Barbara B. Okerson
     Fun with Timelines: Doing More with SAS/GRAPH® PROC GPLOT

Paper 219-27:Lori S. Parsons
     Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions

Paper 220-27:Francesca Pierri and LeRoy Bessler
     Show Your Graphs and Tables at Their Best on the Web with ODS

Paper 221-27:Quan Ren
     Clinical Trial Online — Running SAS® on the Web without SAS/IntrNet®

Paper 222-27:Claude Rheaume and Gilles Turgeon
     How to Access VSAM FILE with SAS/AF® and Base SAS®

Paper 223-27:Thiru Satchi and Edgar L. Mounib
     Using SAS/AF® Software and ODS for Reporting and Analysis

Paper 224-27:Barbara B. Schneider
     Data Entry Using SAS® — A Discussion of Various Possibilities

Paper 225-27:Charles E. Shipp and Kirk P. Lafler
     JMP® Density Ellipses for Pharmaceutical Analysis

Paper 226-27:Paul W. Stober and Shi-Tao Yeh
     An Explicit Functional Form Specification Approach to Estimate the Area under a Receiver Operating Characteristic (ROC) Curve

Paper 227-27:Helen-Jean Talbott
    Exporting Large SAS® Data Sets to MVS External Files in a Production Setting

Paper 228-27:Jeanina M. Worden
     Making SAS® Dates from All Your Character Dates … No Pixie Dust Required

Paper 229-27:Shi-Tao Yeh
     Using a Trapezoidal Rule for the Area under a Curve Calculation

Paper 230-27:Shuhong Zhou
     A GLM-substitute Procedure Performing Linear Model Basic Assumption Checking

Paper 231-27:Joanne C. Zhou
    Graphical Presentation of Survival Analysis

Paper 232-27:Gary R. Kennedy
     Is It Harder for a Pharmaceutical Company to Move from SAS® V6.12 to V8.2 Than It Is to Qualify for the World Cup?

Paper 233-27:Renee Harper
    Tips, Downloads, Samples, and Training — Discover the Service & Support Web Site

Paper 234-27: Mike Rhoads and Deb Cassidy
     Online Docs and Help: Tips for Old Dogs and New Pups

Paper 235-27: Dianne Louise Rhodes
     Developing and Maintaining a Tips Database: A Practical Approach to Programming Standards, Style Sheets and Peer Reviews

Paper 236-27: Mark Jordan and Jim Alessio
     High Energy SAS® — Managing the SAS® Community in a Large Corporation

Paper 237-27: John E. Bentley
     Sounds Like a Good Idea, But What’s the ROI? Justifying Your Project and Getting It Approved

Paper 238-27: Ted Fish, William W. Viergever, and Debbie Tinsley
     Three Views on Consulting: A Panel Discussion

Paper 239-27: Nancy K. Patton
     Telecommuting: the Good, the Bad and the Ugly

Paper 240-27: Doug Zirbel
     10 Things Experienced SAS® Programmers Don’t Know — But Should

Paper 241-27: David Rucker
     Haven’t We Met Somewhere Before?’ and Other Useful Lines (of Code) to Get to Know Their Data

Paper 242-27: John R. Gerlach
     The Heuristic Program

Paper 243-27: Diana D. Suhr
     SEM for Health, Business, and Education

Paper 245-27: Jerry Nickelsburg and Paul D. McNelis
     Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables

Paper 246-27: Robert Cohen and Trevor Kearney
     SAS® Meets Big Iron: High Performance Computing in SAS® Analytical Procedures

Paper 247-27: George C. Fernandez
     Discriminant Analysis, A Powerful Classification Technique in Data Mining

Paper 248-27: David Izrael, Annabella Battaglia, David C. Hoaglin, and Michael P. Battaglia
     Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models

Paper 249-27: Curtis A. Smith
     Detecting Anomalies in Your Data Using Benford’s Law

Paper 250-27: Robert M. Hamer and Pippa M. Simpson
     SAS® Tools for Meta-analysis

Paper 251-27: David L. Cassell
     A Randomization-test Wrapper for SAS® PROCs

Paper 252-27: Ann M. Hess and Hari Iyer
     A SAS/IML® Macro for Computation of Confidence Intervals for Variance Components of Mixed Models

Paper 253-27: Maribeth H. Johnson
     Individual Growth Analysis Using PROC MIXED

Paper 254-27: George F. von Borries and Jeffrey D. Hart
     SAS® Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers

Paper 255-27: Ronna C. Turner, Sean W. Mulvenon, Shawn P. Thomas, and Richard Balkin
     Computing Indices of Item Congruence for Test Development Validity Assessments

Paper 256-27: Rick M. Mitchell
     Fast and Easy Ways to Annoy a SAS® Programmer: A Statistician’s Revenge!

Paper 257-27: Maura Stokes, Bob Rodriguez, and Randy Tobias
     A Preview of SAS/STAT® Version 9: Moving in New Directions and Building on Old Favorites

Paper 258-27: Tony An
     Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure

Paper 259-27: Ali Emrouznejad
     A SAS® Application for Measuring Efficiency and Productivity of Decision Making Units

Paper 260-27: Charles M. Vaughan and Serge Guzy
     Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application

Paper 261-27: Oliver Kuss
     How to Use SAS® for Logistic Regression with Correlated Data

Paper 262-27: Jay Wu
     Analyzing Discrete Choice Data on Monadic Cards

Paper 263-27: Patricia A. Berglund
     Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding

Paper 264-27: Peter S. Wludyka and Ping Sa
     Using SAS® to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances for Unbalanced Designs

Paper 265-27: Lin Chen
     Robust Regression and Outlier Detection with the ROBUSTREG Procedure

Paper 266-27: Jeff M. Gossett, Pippa M. Simpson, James G. Parker
     How Complex Can Complex Survey Analysis Be with SAS?

Paper 267-27: Chunqin Deng and Julia C. Graz
     Generating Randomization Schedules Using SAS® Programming

Paper 268-27: Cathy Maahs-Fladung
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Paper 269-27: Gregory Barnes Nelson
     Managing SAS® Services: A System Administrator’s Guide to Enterprise Applications

Paper 270-27: Robert Ellsworth
     Maximizing Productivity by Automating Frequent Tasks

Paper 271-27: Glen A. Keer, Charles A. Biggs, and Sarah Mitchell
     Making Your SAS/IntrNet® Application Fault Tolerant

Paper 272-27: James Lebak
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Paper 273-27: Frank Nauta
     Proper Architecture Considerations for DW Implementations

Paper 274-27: David H. Johnson
     Passing the Buck

Paper 275-27: Henri Theuwissen and Nancy Croonen
     SAS® Accessing DB2 Data: a Performance Victory Away

Paper 276-27: Faron Kincheloe
     While You Were Sleeping — Scheduling SAS® Jobs to Run Automatically

Paper 277-27: Mauree E. Chew
     Pushing the Envelope: SAS® System Considerations for Solaris/UNIX in a Threaded, 64-Bit Environment

Paper 278-27: Jeff House, Mark Cates, and Ken Larsen Mauree E. Chew
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Paper 279-27: Cheryl Doninger
     Up and Out: Where We’re Going with Scalability in SAS® Version 9

Paper 280-27: Randy Curnutt, Michael J. Pell, and John M. LaBore
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Paper 281-27: Haftan M. Eckholdt and Ezra C. Benun
     SAS® Cluster Disk Management: Using SAS® to Manage Virtual Disks on a Cluster of File Servers

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