Similarities and Differences in SAS Programming Among CRO and Pharmaceutical Industries
Source category: Industry Basics
Author collections: Sandra Minjoe · Mark Matthews
THE COMMUNITY ARCHIVE
PharmaSUG 2011 Papers ArchivePage 4
Browse indexed publications from PharmaSUG in 2011. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
152 papers · Showing 121–152
Smart Import/Append Data in Excel Sheets
Source category: Coders Corner
Author collections: Zhengping Ma
Some Useful Techniques of Proc Format
Source category: Coders Corner
Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS
Source category: Statistics and Pharmacokinetics
Author collections: Dongsun Cao
Success As a Pharmaceutical Statistical Programmer
Source category: Industry Basics
Author collections: Sandra Minjoe · Mario Widel
Symbol Table Generator (New and Improved)
Source category: Applications Development
Author collections: Jim Johnson
SYMply PUT: GET the most out of SYMPUTX and SYMGETN
Source category: Coders Corner
Author collections: Robert Howard
The Illusion of Good Data, or How Not to Think of a Blue Elephant
Source category: Data Management
Author collections: Kim Truett
The Many Ways To Effectively Utilize Array Processing
Source category: Tutorials
Author collections: Arthur Li
The Path, The Whole Path, And Nothing But the Path, So Help Me Windows
Source category: Applications Development
Author collections: Arthur L. Carpenter
The Perfect Marriage: The SAS® Output Delivery System (ODS) and Microsoft Office
Source category: SAS Presents
Author collections: Chevell Parker
The Standard for the Exchange of Nonclinical Data (SEND): History and Basics
Source category: CDISC
Author collections: Fred Wood · Lou Ann Kramer
Tips and Tricks for Clinical Graphs using ODS Graphics
Source category: SAS Presents
Author collections: Sanjay Matange
Tracking Metadata within SAS Drug Development Using SDDPARMS
Source category: Applications Development
Author collections: Bradford J. Danner · Matthew J. Wiedel · Katrina E. Canonizado
Trials and Tribulations of SDTM Trial Design
Source category: CDISC
Author collections: Fred Wood
Truncation, Variable Association, Controlled Terminology, and Some Other Pitfalls in the SDTM Mapping Process
Source category: CDISC
Author collections: Na Li
Type Less, Do More: Have SAS® do the typing for you
Source category: Technical Techniques
Author collections: Jeanina Worden
Using a HASH Table to Reference Variables in an Array by Name
Source category: Technical Techniques
Author collections: John Henry King
Using LinkedIn and sasCommunity.org as Human Resource Tools for Managing a Network of SAS® Professionals
Source category: Management
Author collections: Kirk Paul Lafler · Charles Edwin Shipp
Using SAS Predictive Modeling to Investigate the Asthma’s Patient Future Hospitalization Risk
Source category: Health Science, Epidemiology, and Post-Market Research
Author collections: Yehia H. Khalil
Using SAS® for Modeling and Simulation in Drug Development – A Review and Assessment of Some Available Tools
Source category: Statistics and Pharmacokinetics
Author collections: Melvin Munsaka · Michael Carniello
Using Six Sigma Methodologies to Find a Solution for Increasing Training Completions
Source category: Industry Basics
Author collections: Eunice Ndungu · Janet Low
Using the ADaM Basic Data Structure for Survival Analysis
Source category: Tutorials
Author collections: Nancy Brucken · Sandra Minjoe · Mario Widel
Using the SAS® Clinical Standards Toolkit for define.xml creation
Source category: SAS Presents
Author collections: Lex Jansen
Using Two SET Statements in One DATA Step
Source category: Coders Corner
Author collections: Ben Cochran
Using Visual Basic for Application to Produce Table of Contents from SAS Output List Files
Source category: Applications Development
Author collections: Zemin Zeng · Mei Li
Validating Controlled Terminology in SDTM Domains
Source category: CDISC
Author collections: John R Gerlach
Validating define.xml: Tools, trials, and tribulations
Source category: CDISC
Author collections: Sandra VanPelt Nguyen
Visualizing Healthcare Provider Network using SAS® Tools
Source category: Health Science, Epidemiology, and Post-Market Research
Author collections: John Zheng
You Want that Program to Run on the PC in New Jersey and the Unix in Basel, without Modification??
Source category: Technical Techniques
Author collections: David Franklin
Your Age In People Years: Not All Formulas Are the Same
Source category: Coders Corner
Author collections: Art Carpenter
Your Dataset Looks Fine – But Does It Comply with ’99?
Source category: Industry Basics