SDTM TE, TA, and SE Domains: Demystifying the Development of SE
Source category: Data Standards
Author collections: Kristin Kelly · Fred Wood · Jerry Salyers
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PharmaSUG Papers ArchivePage 61
Browse indexed publications from PharmaSUG. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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2,664 papers · Showing 2401–2440
Sensitivity Training for PRXers
Source category: Quick Tips
Author collections: Kenneth W. Borowiak
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad
Source category: Healthcare Analytics
Author collections: Arthur L. Carpenter
Simplicity is the Soul of Efficiency: Simple Tips and Tricks for Efficient SAS® Programming
Source category: Quick Tips
Author collections: Shefalica Chand
Simulate PRELOADFMT Option in PROC FREQ
Source category: Quick Tips
Author collections: Ajay Gupta
Sorting big datasets. Do we really need it?
Source category: Quick Tips
Author collections: Daniil Shliakhov
Spelling Checker Utility in SAS® using VBA Macro and SAS® Functions
Source category: Posters
Author collections: Ajay Gupta
Statistical Analyses Across Overlapping Time Intervals Based on Person-Years
Source category: Healthcare Analytics
Author collections: John Reilly · John R Gerlach
Statistical Review and Validation of Patient Narratives
Source category: Quick Tips
Author collections: Indrani Sarkar · Bradford J. Danner
Steps Required to Achieve Operational Excellence (OpEx) Within Clinical Programming
Source category: Management and Support
Subset without Upsets: Concepts and Techniques to Subset SDTM Data
Source category: Posters
Author collections: Jhelum Naik · Sajeet Pavate
Summing up – SDTM Trial Summary Domain
Source category: Posters
Author collections: Yi Liu Celerion Inc. · Stephen Read Celerion Inc.
Tackling Clinical Lab Data in Medical Device Environment
Source category: Industry Basics
TEAE: Did I flag it right?
Source category: Posters
Author collections: Arun Raj Vidhyadharan · Sunil Mohan Jairath
Team-work and Forensic Programming: Essential Foundations of Indestructible Projects
Source category: Techniques and Tutorials
Author collections: Brian Fairfield-Carter
Techniques of Preparing Datasets for Visualizing Clinical Laboratory Data
Source category: Data Visualization and Graphics
Author collections: Amos Shu
The 5 Most Important Clinical SAS? Programming Validation Steps
Source category: Industry Basics
The Best Practices of CDISC ADaM Validation Checks: Past, Present, and Future
Source category: Data Standards
Author collections: Shelley Dunn · Ed Lombardi
The concept of “Dynamic” SAS programming
Source category: Quick Tips
Author collections: Sergey Sian
The Dependency Mapper: How to save time on changes post database lock
Source category: Applications Development
Author collections: Shailendra Phadke
The Disposition Table: Make it Easy
Source category: Industry Basics
The Implementation of Display Auto-Generation with Analysis Results Metadata Driven Method
Source category: Applications Development
Author collections: Chengxin Li
The Knight’s Tour in Chess – Implementing a Heuristic Solution
Source category: Beyond the Basics
Author collections: John R Gerlach
The Most Common Issues in Submission Data
Source category: Submission Standards
Author collections: Sergiy Sirichenko · Max Kanevsky
The Path To Treatment Pathways
Source category: Healthcare Analytics
The REPORT Procedure: A Primer for the Compute Block
Source category: Techniques and Tutorials
Author collections: Jane Eslinger
Things Are Not Always What They Look Like: PROC FORMAT in Action
Source category: Beyond the Basics
Author collections: Peter Eberhardt · Lucheng Shao
Tips on Creating a Strategy for a CDISC Submission
Source category: Industry Basics
Toward Adoption of Agile Software Development in Clinical Trials
Source category: Applications Development
Author collections: Troy Martin Hughes
Transitions in Depressive Symptoms After 10 Years of Follow-up Using PROC LTA
Source category: Quick Tips
Author collections: Seungyoung Hwang
Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM
Source category: Industry Basics
Author collections: Kevin Lee · Vikash Jain
Understanding SE, TA, TE Domains
Source category: Data Standards
Author collections: Jacques Lanoue
Unpacking an Excel Cell: Dealing with Multi-Line Excel Cells in SAS
Source category: Beyond the Basics
Author collections: Lucheng Shao
Update: Development of White Papers and Standard Scripts for Analysis and Programming
Source category: Posters
Author collections: Nancy Brucken · Michael Carniello · Mary Nilsson · Hanming Tu
Usage of OpenCDISC Community Toolset 2.0 for Clinical Programmers
Source category: Hands-On Training
Author collections: Sergiy Sirichenko · Michael Digiantomasso · Travis Collopy
Use of SAS Reports for External Vendor Data Reconciliation
Source category: Industry Basics
Author collections: Soujanya Konda
Using ANCOVA to Assess Regression to the Mean
Source category: Statistics and Pharmacokinetics
Author collections: Kathryn Schurr
Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency
Source category: Techniques and Tutorials
Author collections: Arthur L. Carpenter
Using INFILE and INPUT Statements to Introduce External Data into SAS®
Source category: Hands-On Training
Author collections: Andrew T. Kuligowski
Using Meta-data to Identify Unused Variables on Input Data Sets
Source category: Quick Tips
Author collections: Keith Hibbetts