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
:
Robert Ray
Save Time Today Using SAS® Views
Paper
020-27
:
Steven J. First
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
Data Warehousing and Enterprise Solutions
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
Autotrader.com: 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
Professional Development and User Support
Paper
232-27
:
Gary R. Kennedy
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233-27
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Renee Harper
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Online Docs and Help: Tips for Old Dogs and New Pups
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236-27
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Mark Jordan and Jim Alessio
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237-27
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John E. Bentley
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238-27
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Ted Fish, William W. Viergever, and Debbie Tinsley
Three Views on Consulting: A Panel Discussion
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239-27
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Nancy K. Patton
Telecommuting: the Good, the Bad and the Ugly
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240-27
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Doug Zirbel
10 Things Experienced SAS® Programmers Don’t Know — But Should
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241-27
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David Rucker
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242-27
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John R. Gerlach
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Diana D. Suhr
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245-27
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Jerry Nickelsburg and Paul D. McNelis
Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables
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246-27
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Robert Cohen and Trevor Kearney
SAS® Meets Big Iron: High Performance Computing in SAS® Analytical Procedures
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247-27
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George C. Fernandez
Discriminant Analysis, A Powerful Classification Technique in Data Mining
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248-27
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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
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249-27
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Curtis A. Smith
Detecting Anomalies in Your Data Using Benford’s Law
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250-27
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Robert M. Hamer and Pippa M. Simpson
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251-27
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David L. Cassell
A Randomization-test Wrapper for SAS® PROCs
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252-27
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Ann M. Hess and Hari Iyer
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253-27
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Maribeth H. Johnson
Individual Growth Analysis Using PROC MIXED
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254-27
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George F. von Borries and Jeffrey D. Hart
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255-27
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Ronna C. Turner, Sean W. Mulvenon, Shawn P. Thomas, and Richard Balkin
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256-27
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Rick M. Mitchell
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257-27
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Maura Stokes, Bob Rodriguez, and Randy Tobias
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258-27
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Tony An
Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure
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259-27
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Ali Emrouznejad
A SAS® Application for Measuring Efficiency and Productivity of Decision Making Units
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260-27
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Charles M. Vaughan and Serge Guzy
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261-27
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Oliver Kuss
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262-27
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Jay Wu
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263-27
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Patricia A. Berglund
Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding
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264-27
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Peter S. Wludyka and Ping Sa
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265-27
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Lin Chen
Robust Regression and Outlier Detection with the ROBUSTREG Procedure
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266-27
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Jeff M. Gossett, Pippa M. Simpson, James G. Parker
How Complex Can Complex Survey Analysis Be with SAS?
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267-27
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Chunqin Deng and Julia C. Graz
Generating Randomization Schedules Using SAS® Programming
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268-27
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Cathy Maahs-Fladung
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269-27
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Gregory Barnes Nelson
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270-27
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Robert Ellsworth
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Glen A. Keer, Charles A. Biggs, and Sarah Mitchell
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272-27
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James Lebak
Tuning WebHound™ 4.0 and SAS® 8.2 for Enterprise Windows Systems
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273-27
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Frank Nauta
Proper Architecture Considerations for DW Implementations
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274-27
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David H. Johnson
Passing the Buck
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275-27
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Henri Theuwissen and Nancy Croonen
SAS® Accessing DB2 Data: a Performance Victory Away
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276-27
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Faron Kincheloe
While You Were Sleeping — Scheduling SAS® Jobs to Run Automatically
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277-27
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Mauree E. Chew
Pushing the Envelope: SAS® System Considerations for Solaris/UNIX in a Threaded, 64-Bit Environment
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278-27
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Jeff House, Mark Cates, and Ken Larsen Mauree E. Chew
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279-27
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Cheryl Doninger
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280-27
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Randy Curnutt, Michael J. Pell, and John M. LaBore
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281-27
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Haftan M. Eckholdt and Ezra C. Benun
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