Application Development
AD01
SAS Cluster Gene Matching: Using SAS To Manage Computer Clusters And To Perform Protein Matching
Haftan M Eckholdt, DayTrends, LLC
AD04
Choice of Development Tool for the User Interface of a Client-Server Application in a SAS® Environment
Barry R Cohen, Planning Data Systems, Inc.
AD05
A Web Based Clinical Data Browser
Eric Grelak, System Solutions, Inc.
Nick Ronca, AstraZeneca Pharmaceuticals LP
AD06
An Automation System for Generating Case Report Form Tabulations
David C Izard, GlaxoSmithKline
Shi-Tao Yeh, GlaxoSmithKline
AD07
Design Considerations Used to Develop Clinical Reporting Software
Steve Light, DataCeutics Inc.
Paul Gilbert, DataCeutics Inc
AD10
A Data-Driven Macro Automating the Data Presentation Process by Generating Tailored, Customizable SAS Code: Relax, let %TABGEN do your work!
John Morrill, Quintiles, Inc.
Kristi Wiser, Quintiles, Inc.
Jay Zhou, Quintiles, Inc.
AD11
MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word
Richard H Thomas, Palarco, Inc.
Nick Ronca, AstraZeneca Pharmaceuticals LP
AD12
(Web) Software Development: Best Practices for Developing Enterprise Applications
Greg S Barnes Nelson, ThotWave Technologies
Danny Grasse,, ThotWave Technologies
AD13
Managing SAS Services: A System Administrator’s Guide to Enterprise Applications
Greg S Barnes Nelson, ThotWave Technologies
AD15
%Qexcel Tackles the Challenges of Converting Data to SAS® from Excel®
Jay Zhou, Quintiles, Inc.
Coders Corner
CC01
PROC EXPLODE - Using SAS to Produce Informational Printed Pages
Brian Charles Shilling, Bristol Myers-Squibb Company
CC02
Efficient Interpolation Calculation
Julia Zhang, GlaxoSmithKlie
David Chen, EDP Contract Services
CC03
Streamlining SAS® Data Listings to Match CRF Data Flow for Use in Limited Internal Audits
Michael Acra, Glaxo Smith Kline
Greg Henkle, Glaxo Smith Kline
CC04
A data dictionary. A more complete alternative to Proc contents.
A. Cecilia Casas, PPD Development
CC05
Don’t copy this program: use SYSPARM instead
Steve Wong, Wyeth-Ayerst/Genetics Institute
CC06
Macro Functions: How to Make Them - How to Use Them
Art Carpenter, CA Occidental Consultants
CC07
Making SAS Output Pretty – Creating Customized Documents for your Clients
Elaine Dempsey, Rho Inc.
CC08
Recovering Lost Lines: Using the Whole Page with Proc Report
Richard R Allen, Peak Statistical Services
CC09
Documenting the Database: A SAS® Macro to Automate the Process
William C Murphy, Howard M. Proskin & Associates, Inc.
CC10
You CAN Save Your Log and View It, Too: An Improved Process for Automatically Saving the Contents of the Log and Output Windows
Amy C. Rhoads, PRA International
Kent Letourneau, PRA International
CC11
SAS® Macros for Graphical Data Analysis
Doug Lassman, PRA International
CC12
%Addval: A SAS® Macro which completes the Cartesian Product of dataset observations for all values of a selected set of variables.
Richard L Schiefelbein, PRA International
CC13
Reduce Paper Output When Using SAS® Proc Compare (A Validator's Dream Come True!)
Lila Thome, PPD, Inc.
CC14
Create Directory on Windows Without the Fleeting DOS Window
Hsiwei Yu, PTS Inc.
Gary Huang
CC15
Proc Report and ODS
Cindy Stroupe, Inveresk Research
CC16
A SAS Macro for Producing Data Summary Tables
Yajie Wang, Palo Alto Institute of Research and Education
Lan Zhao, Palo Alto Institute of Research and Education
Surai Thaneemit-Chen
Bob Edson, Palo Alto Institute of Research and Education
Data Management
DM01
The CDISC Laboratory Data Interchange Standard: Using SAS® To Read and Write CDISC Compliant Data Sets and Files
Margaret Hung, GlaxoSmithKline
Philip M Pochon, Covance Central Laboratory Services, Inc.
DM02
How are we doing? The importance of metrics and standard practices in in clincial data management and biostatistics.
Kent Letourneau, PRA International
DM03
Techniques for the Successful Management of Laboratory Data for Clinical Research and Development
Benjamin Hampton Frierson, PRA International
DM04
Implementing a Standardized Data Model – A Real Life Experience
Curtis B Wolf, DataCeutics
Paul Gilbert, DataCeutics
Patric Genyn, Janssen Pharmaceuticals
DM05
SAS® Techniques to Get the Most out of Oracle Clinical®
David A. Johndrow, Analytical Sciences, Inc.
DM06
Rapid Assessment of Data Set Structures
Philip J Vecchione, Cognigen Corp.
DM07
Preparing the SAS® Software Programming Environment for Regulatory Submission
Sunil K. Gupta, Gupta Programming
DM08
Building and Using Macro Libraries
Art Carpenter, CA Occidental Consultants
E-Business and Cross-Platform Solutions
EB01
A Comparison of XML and SAS Xport Files for Electronic Submission
Tianshu Li, Merck & Co., Inc.
EB04
Clinical Trial Online – Running SAS® on the Web without SAS/IntrNet®
Ren Quan, MedImmune, Inc
FDA Compliance: Electronic Submission and Validation
FDA01
Clinical Data Model and FDA Submissions
Shy Kumar, Datafarm, Inc.
Gajanan Bhat, Boston Scientific Corporation
FDA03
Using SAS® Macros to Construct Items 5 and 11 of an Electronic Submission
Elizabeth Dennis, Quintiles, Inc.
Jay Zhou, Quintiles, Inc.
FDA04
Data Definition Tables – Definition and Automation
Matthew J Becker, PharmaNet, Inc.
Kitty Moses, Microcebus, Inc.
FDA05
SAS® Coexistence with FDA 21 CFR Part 11, how far can we get?
Gustav Sporon-Fiedler, H. Lundbeck A/S
Marie Lassen, H. Lundbeck A/S
FDA06
ODS to RTF: Tips & Tricks
Paul David Hamilton, Immunex
Posters
P01
Discriminant Analysis (PROC DISCRIM) To Separate A Study Population By Treatment Subgroups In A Clinical Trial With A New Antidepressant
Lev Sverdlov, Innapharma, Inc
P02
Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions
Lori S. Parsons, Ovation Research Group
P04
IND Annual Reporting at a Glance
Kristi Wiser, Quintiles, Inc.
P05
The Effect of Stress on the Immune System: P-Value Comparisons
Paul Johnson, University of California san Francisco
P06
Report Macro - A Tool to Generate Flexible Summary Reports
Diane E Foose, GlaxoSmithKline
P07
Java Application Development for Analyzing Clinical Pharmacogenomics Data
Zongwei Shen, Genaissance Pharmaceuticals, Inc.
Robert Tracy, Genaissance Pharmaceuticals, Inc.
Judson, Genaissance Pharmaceuticals, Inc.
P08
JMP Density Ellipses for Pharmaceutical Analysis
Charles E. Shipp, Consultant
Kirk P. Lafler, Software Intelligence Corporation
P09
Serology Inventory System
Mariya Charny, NABI
Ala Sweidan, NABI
P10
Imputation of Longitudinal Incomplete Data in Clinical Trials
Naum M. Khutoryansky, Novo Nordisk Pharmaceuticals, Inc.
SAS Institute Presentations
SAS01
Data Exploration in the Pharmaceutical Industry
Andrew Fagan, Pharmaceutical Software Development, SAS Institute
Drew Folgia, Pharmaceutical Software Development, SAS Institute
Martin Michael, Pharmaceutical Software Development, SAS Institute
David Handelsman, Pharmaceutical Software Development, SAS Institute
SAS02
Techniques for SAS® Enabling Microsoft® Office in a Cross-Platform Environment
Vincent DelGobbo, SAS Institute
SAS03
What’s New in the Output Delivery System, Version 9.0
Sandy McNeill, SAS Institute
SAS03a
What’s New in the Output Delivery System, Version 9.0
Sandy McNeil, SAS Institute
SAS04
Save Time Today Using SAS® Views
Robert Ray, SAS Institute
SAS05
Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure
Anthony B An, SAS Institute
SAS06
SAS® Solutions for Addressing 21 CFR Part 11 Compliance -- the P21 Biomedical Knowledge Platform
Edward Helton, SAS Institute
Patricia Halley, SAS Institute
David Handelsman, SAS Institute
SAS07
To Err Is Human, To Debug Devine
Roger Staum, SAS Institute
SAS08
Genomics Developments at SAS
Russ Wolfinger, SAS Institute
SAS - Special Presentation
Overview of SAS 9
Paul Kent, SAS Institute
Statistics & Pharmacokinetics - Reporting & Analysis
SP01
Simulating Attrition and Visual Models of Type I and Type II Errors
Haftan M Eckholdt, Albert Einstein College of Medicine
SP03
Some Analysis Methods for Behavioral Toxicology Data
Richard R Allen, Peak Statistical Services
SP05
The 800 Pound Gorilla: Taking on the Challenge of Globally Standardizing AE and Medication Reporting
Deborah Harper, Pfizer Global Research and Development
Jennifer Tjernagel, Pfizer Global Research and Development
SP06
Clinical Effectiveness: the challenge of selecting and combining key efficacy and safety endpoints as a single utility measure
Joseph T Wang
Charlie E. Barr, Pharmacia Corp.
SP07
Fast Two-Sample Permutation Tests, Even when One Sample is Large, that Efficiently Maximize Power Under Crude Monte Carlo Sampling
J.D. Opdyke, Economic Consulting Group Group - Andersen, LLP
SP08
Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED
Richard J. McNally, Colorado State University
SP09
Two Step Approach to Automatically Generate ESTIMATE Statements for Pair-wise Treatment Comparisons
Eric Qi, Merck & Co
Guanghan (Frank) Liu, Merck & Co
Technical Techniques
TT01
SAS Cluster Disk Management: Using SAS to Manage Virtual Disks on a Cluster of File Servers
Haftan M Eckholdt, DayTrends, LLC
Ezra Benun, DayTrends, LLC
TT02
Let ODS in SAS® V8 Help to Speed Up Your Electronic Clinical Study Report (e-CSR)
Jim J Wang, Medpace LLC
Sherry L Pinell, Medpace LLC
Tikiri B. Karunasundera, Medpace LLC
TT03
Convert ASCII Output Files to SAS® Data Sets
Lara E.H. Guttadauro, Kendle International Inc.
Pingping Zhang, Kendle International Inc.
TT04
Customizations to the SAS Multidimensional Report Viewer
Alan D Leach, Qualex Consulting Company
Karl Schaefer, Qualex Consulting Services
Steve Wagar, Qualex Consulting Services
TT05
Using SAS to get more out of Oracle Clinical
Jim Johnson, Covance Periapproval Services
TT06
Web-Based Code Generation for Derived Data using SAS/IntrNet®
Luai R Alzoubi, Pfizer Global Research and Development
Kent Nassen, Pfizer Global Research and Development
Subra Pilli, Pfizer Global Research and Development
TT07
Punctuation in SAS Programming
John Morrill, Quintiles, Inc.
George Li, Quintiles, Inc.
TT08
Date and Time Values in Clinical Trial Data
George Li, Quintiles, Inc.
John Morrill, Quintiles, Inc.
TT10
Pitfalls and Successes of Automating In-Text Tables for a Clinical Study Report: A Case Study
Matthew J Becker, PharmaNet, Inc.
Syamala Kasichainula, PharmaNet, Inc.
Joanna Moore, PharmaNet, Inc.
TT11
Table Lookups: From IF-THEN to Key-Indexing
Art Carpenter, California Occidental Consultants
TT12
Bulletproofing and Knowledge Encapsulation in Statistical Macros
John K Troxell, Merck & Co., Inc.
TT13
Have a Strange Date? - Create your own INFORMAT to deal with her.
Venkatesan Chakravarthy, Consultant
TT14
Post-processing MPRINT Outputs to Generate Macro-Free Code
Jim F Edgington, Quintiles, Inc.
Jay Zhou, Quintiles
TT15
Optimizing System Performance by Monitoring UNIX Server with SAS®
Sam Mao, Quintiles, Inc.
Jay Zhou, Quintiles, Inc
TT16
Expanding the Functionality of Min()/Max(): Finding Tied Minimum or Maximum Values and Their Contributing Variables
Kent Nassen, Pfizer Global Research & Development -- Ann Arbor Laboratories
Subra Pilli, Pfizer Global Research & Development -- Ann Arbor Laboratories
Luai Alzoubi, Pfizer Global Research & Development -- Ann Arbor Laboratories
TT17
Adding a TIFF Preview to Encapsulated PostScript Graphics within the SAS® System
Gerhardt Pohl, Eli Lilly and Company
TT18
Various Techniques for Processing CDISC ODM XML
Chris Olinger, Thotwave Technologies
TT20
Data Dependent Footers using Proc Report
A. Cecelia Casas, PPD Development
Tutorials (Advanced)
TU01
Access to Relational Databases Using SAS ®
Frederick Pratter, University of Montana
TU03
It's Easy If You Know How: Importing, Processing, and Exporting CDISC XML with SAS®
Michael C Palmer, Zurich Biostatistics, Inc.
TU04
Using SAS® ODS to Enhance Clinical Data Summaries: Meeting eSub Guidelines
Steven Light, DataCeutics, Inc.
Kathleen Greene, Genzyme Corporation
TU05
Using Styles and Templates to Customize SAS® ODS Output
Sunil K. Gupta, Gupta Programming
TU98
SAS Tips I learnt while at Oxford
Phil Mason, Wood Street Consultants Ltd.
TU99
Advanced Macro Programming: a few useful techniques
Phil Mason, Wood Street Consultants Ltd.
Tutorials (Beginning)
TU02
Introduction to SAS®/Graph
Philip Andrew Mason, Wood Street Consultants Ltd.
TU06
How to fill up the TABLE with all the categories when the actual DATA has only a few: A beginner's TUTORIAL - via the DATA STEP.
Venkatesan Chakravarthy
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