Data Visualization Tips and Techniques for Effective Communication
Source category: Data Visualization and Graphics
Author collections: LeRoy Bessler
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PharmaSUG Papers ArchivePage 69
Browse indexed publications from PharmaSUG. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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3,182 papers · Showing 2721–2760
DataSetBuilder – An Application for Creating Edit Check Test Cases within SAS Data Sets by Non-Programmers
Source category: Applications Development
Author collections: Richard Addy
Defensive Programming and Error-handling: The Path Less Travelled
Source category: Techniques & Tutorials: Foundations
Author collections: Tracy Sherman · Angela Ringelberg
Deployment of SAS® Programming Contract Staff: Pathway to Sinkhole or Best Strategy for Programming Division?
Source category: Management and Support
Author collections: Parag Shiralkar
Derived observations and associated variables in ADaM datasets
Source category: Posters
Author collections: Arun Raj Vidhyadharan
Designing and Tuning ADaM Datasets
Source category: Data Standards
Author collections: Songhui Zhu
Doctoring Your Clinical Trial with Adaptive Randomization: SAS® Macros to Perform Adaptive Randomization
Source category: Statistics and Pharmacokinetics
Doing the hashwork: Using the DATA step hash object to perform common clinical programming chores
Source category: Beyond the Basics
Don’t Get Blindsided by PROC COMPARE
Source category: Coders Corner
Author collections: Joshua Horstman · Roger Muller
Due (Data) Diligence: Study Data Review for Acquisitions
Source category: Industry Basics
Author collections: Steve Kirby
Dynamic Project Setup and Programming Using SAS Automatic Macro Variables and Environment Variables
Source category: Coders Corner
Author collections: Gary E. Moore
Effective Independent Validation: Tips to Improve the Independent Validation Process
Source category: Techniques & Tutorials: Foundations
Author collections: Brandon Graham
Effectively Utilizing Loops and Arrays in the DATA Step
Source category: Hands-On Training
Author collections: Arthur X. Li
Efficient Statistical Review Using the ExcelXP Tagset
Source category: Posters
Author collections: Bradford J. Danner
Enhancements to Basic Patient Profiles
Source category: Beyond the Basics
Author collections: Scott Burroughs
Essentials of PDV: Directing the Aim to Understanding the DATA Step!
Source category: Techniques & Tutorials: Foundations
Author collections: Arthur Xuejun Li
Everything You Need To Know About Standardised MedDRA Queries
Source category: Posters
Author collections: Rajkumar Sharma
Experiences in Preparing Summary Level Clinical Site Data within NDA’s Submission for FDA’s Inspection Planning
Source category: Data Standards
Author collections: Xiangchen (Bob) Cui
Extend the Power of SAS® to Use Callable VBS and VBA Code Files Stored in External Libraries to Control Excel Formatting Routines
Source category: Techniques & Tutorials: Foundations
Author collections: William E Benjamin Jr
Extending the PRX Functions with PROC FCMP
Source category: Coders Corner
Author collections: Kunal Agnihotri · Kenneth W. Borowiak
Flags for Facilitating Statistical Analysis Using CDISC Analysis Data Model
Source category: Posters
Author collections: Chun Feng · Xiaopeng Li · Nancy Wang
Four Useful VBA Utilities for SAS® Programmers
Source category: Beyond the Basics
Author collections: David Franklin
From Standards that Cost To Standards that Save: Cost Effective Standards Implementation
Source category: Data Standards
Author collections: Jeffrey Abolafia · Frank DiIorio
Get in line! How to make your data alignment easy!
Source category: Coders Corner
Author collections: Ying (Evelyn) Guo
Getting Ready for PDUFA V – The New “GCP”: Governance, Communication, Planning
Source category: Posters
Author collections: Joanna Koft
Give the Power of SAS® to Excel Users Without Making Them Write SAS Code
Source category: Techniques & Tutorials: Foundations
Author collections: William E Benjamin Jr
Good vs Better SDTM: Limitations as Operational Model
Source category: Data Standards
Author collections: Henry B. Winsor · Mario Widel
Google® Search Tips and Techniques for SAS® and JMP® Users
Source category: Techniques & Tutorials: Foundations
Author collections: Kirk Paul Lafler · Charles Edwin Shipp
Graph Your SAS® Off
Source category: Coders Corner
Handling Dynamic Variable Types in SAS®
Source category: Coders Corner
Hands-On ADaM ADAE Development
Source category: Hands-On Training
Author collections: Sandra Minjoe
How MEAN is T-test?
Source category: Coders Corner
Author collections: Naina Pandurangi
How to make SAS Drug Development more efficient
Source category: Posters
Author collections: Xiaopeng Li · Chun Feng
If ‘standard code’ is so great…
Source category: Management and Support
Author collections: Brian Fairfield-Carter
Implementation Considerations for PARAM/PARAMCD Using ADaM BDS
Source category: Data Standards
Author collections: Karl Miller · J.J. Hantsch
Implementation of Breast Cancer Risk Assessment Tool using SAS®
Source category: Posters
Author collections: Yuqin Li · Xiaohai Wan
Imputing Dose Levels for Adverse Events
Source category: Health Outcomes and Epidemiology
Author collections: John R Gerlach
Introduction to Bayesian Analysis Using SAS® Software
Source category: Statistics and Pharmacokinetics
The publisher explicitly marks this presentation as having no paper available.
Author collections: Maura Stokes
Introduction to the CDISC Standards
Source category: Industry Basics
Author collections: Sandra Minjoe
Is Your Data Set Really Validated: Beware of “Blind-Fold” Validation
Source category: Industry Basics
Author collections: Neha Mohan · Gayatri Karkera