Conformance, Compliance, and Validation: An ADaM Team Lead’s Perspective
Source category: Data Standards
Author collections: John Troxell
THE COMMUNITY ARCHIVE
PharmaSUG 2016 Papers ArchivePage 2
Browse indexed publications from PharmaSUG in 2016. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
178 papers · Showing 41–80
Consider Define.xml Generation during Development of CDISC Dataset Mapping Specifications
Source category: Applications Development
Author collections: Bhavin Busa
Considerations and Conventions within the Therapeutic Area User Guides (TAUGs)
Source category: Data Standards
Author collections: Jerry Salyers · Kristin Kelly · Fred Wood
Controlling Colors by Name; Selecting, Ordering, and Using Colors for Your Viewing Pleasure
Source category: Techniques and Tutorials
Author collections: Arthur L. Carpenter
Cox proportional hazards regression to model the risk of outcomes per double increase in a continuous explanatory variable
Source category: Statistics and Pharmacokinetics
Author collections: Seungyoung Hwang
Creating Define-XML version 2 including Analysis Results Metadata with the SAS® Clinical Standards Toolkit
Source category: Submission Standards
Author collections: Lex Jansen
Creating Time to Event ADaM Dataset for a Complex Efficacy Endpoint in Multiple Sclerosis Therapeutic Area
Source category: Posters
Data Validation: Bolstering Quality and Efficiency
Source category: Quick Tips
Author collections: Houde Zhang · Rajinder Kumar
Data Visualization for Quality Control in NONMEM Data set
Source category: Posters
Author collections: Linghui Zhang
Deconstructing ADRS: Tumor Response Analysis Data Set
Source category: Data Standards
Author collections: Steve Almond
Delivering a quality CDISC compliant accelerated submission using an outsourced model
Source category: Posters
Author collections: Mei Dey · Diane Peers
Displaying data from NetMHCIIPan using GMAP: the SAS System as a Bioinformatics Tool
Source category: Data Visualization and Graphics
Author collections: Kevin R. Viel
Don’t Agonize, Organize: Maximizing efficiency and effectiveness of SAS® Programming in Clinical Trials projects, by using Project Management Organizing Methodologies
Source category: Posters
Author collections: Shefalica Chand
Don’t be a Diamond in the Rough: Tips to Employment
Source category: Career Planning
Author collections: Janet Stuelpner
DOSUBL and the Function Style Macro
Source category: Beyond the Basics
Author collections: John Henry King
Duplicate records – it may be a good time to contact your data management team
Source category: Techniques and Tutorials
Author collections: Sergiy Sirichenko · Max Kanevsky
Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP® Clinical
Source category: Applications Development
Author collections: Richard C. Zink · Drew Foglia
Elevate your Graphics Game: Violin Plots
Source category: Data Visualization and Graphics
Author collections: Spencer Childress
Empowering Users By Creating Data Visualization Applications In R/Shiny
Source category: Data Visualization and Graphics
Author collections: Sudhir Singh · Brian Munneke · Amulya R Bista · Jeff Cai
Enhanced OpenCDISC Validator Report for Quick Quality Review
Source category: Applications Development
Author collections: Ajay Gupta
Enhancing the SAS® Enhanced Editor with Toolbar Customizations
Source category: Quick Tips
Author collections: Lynn Mullins
Enough of Clinical…Let’s talk Pre-Clinical!
Source category: Posters
Author collections: Arun Raj Vidhyadharan · Sunil Mohan Jairath
Everything or Nothing – A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis
Source category: Statistics and Pharmacokinetics
Exploring HASH Tables vs. SORT/DATA Step vs. PROC SQL
Source category: Techniques and Tutorials
Author collections: Richann Watson · Lynn Mullins
Fifty Ways to Change your Colors (in ODS Graphics)
Source category: Data Visualization and Graphics
Author collections: Shane Rosanbalm
Formats and Informats – Concepts and Quick Reference Table
Source category: Techniques and Tutorials
Author collections: Emmy Pahmer
Four “Oops” Moments While Using Electronic Health Records to Identify a Cohort of Medication Users
Source category: Healthcare Analytics
Generalized Problem-Solving Techniques for De-bugging and Diagnosing Logic Errors
Source category: Techniques and Tutorials
Author collections: Brian Fairfield-Carter · Tracy Sherman
Get a Quick Start with SAS® ODS Graphics By Teaching Yourself
Source category: Data Visualization and Graphics
Author collections: Roger D. Muller
Getting Clouds Moving across the Pacific – a case study on working with a Chinese CRO on SAS ® Drug Development
Source category: Management and Support
Getting Started with Data Governance
Source category: Data Standards
Author collections: Gregory S. Nelson
Go Compare: Flagging up some underused options in PROC COMPARE
Source category: Beyond the Basics
Good versus Better SDTM: Data Listings
Source category: Industry Basics
Author collections: Mario Widel · Henry Winsor
Handling Interim and Incomplete Data in a Clinical Trials Setting
Source category: Industry Basics
Author collections: Paul Stutzman
Hands-On SAS® Macro Programming Essentials for New Users
Source category: Hands-On Training
Author collections: Kirk Paul Lafler
I Object: SAS® Does Objects with DS2
Source category: Beyond the Basics
Author collections: Peter Eberhardt · Xue Yao
Implementation of ADaM Basic Data Structure for Cross-over Studies
Source category: Data Standards
Author collections: Songhui Zhu
Importance of Niche Provider for Successful NDA Submission: Rescue Case Study
Source category: Industry Basics
Author collections: Aparna Poona · Bhavin Busa · Tim Southwick
Importing Data Specifications from .RTF and .DOC files and producing Reports
Source category: Posters
Increase Your Bottom-line and Keep More Money in Your Pocket – A Practical Guide to the Self-Employed
Source category: Management and Support
Author collections: Margaret Hung