SDTM Variables You Might Forget About
Source category: Data Standards
Author collections: Nadiia Pukhliar · Iryna Kotenko
THE COMMUNITY ARCHIVE
PharmaSUG 2023 Papers ArchivePage 5
Browse indexed publications from PharmaSUG in 2023. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
209 papers · Showing 161–200
Secret SAS – You Can Write eCTD Using ODS Word in SAS
Source category: Strategic Implementation & Innovation
Author collections: Pete Lund · Julie Stofel
Sensitivity Analysis for Missing Data Using Control-based Pattern Imputation
Source category: Statistics and Analytics
Shifting the drug development paradigm with Adaptive Design and master protocol
Source category: Statistics and Analytics
Author collections: Aman Bahl
Smart Use of SAS Output System and SAS Macro for Statistic Test Selection
Source category: Quick Programming Tips
Soft Skills to Master as a Freelance Consultant
Source category: Freelancers Forum
Author collections: Kirk Lafler
Sorting a Bajillion Variables—When SORTC and SORTN Subroutines Have Stopped Satisfying, User-Defined PROC FCMP Subroutines Can Leverage the Hash Object to Reorder Limitless Arrays
Source category: Advanced Programming
Author collections: Troy Hughes
Sound SDTM, Sound ADaM – Orchestrating SDTM and ADaM Harmonization
Source category: Data Standards
Author collections: Nancy Brucken · Soumya Rajesh
Standardization of Reactogenicity Data into Findings
Source category: Submission Standards
Author collections: Charumathy Sreeraman
Standardized data handling framework for wearables
Source category: Solution Development
Author collections: Madhu Annamalai · Umayal Annamalai
Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19
Source category: Statistics and Analytics
Author collections: Xi Qian
Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP)
Source category: Advanced Programming
Study Data Technical Rejection Criteria (TRC) Considerations for Multiple Data Packages in a Single Submission
Source category: Submission Standards
Author collections: Christine Teng · Janet Low
Submission survival guidelines for Statistical Programmers
Source category: e-Posters
Author collections: Norihiko Oharu
Survival Methods for Crossover in Oncology Trials
Source category: Advanced Programming
Author collections: Brian Mosier
Taming the Large SAS® Dataset by Splitting it Up
Source category: Quick Programming Tips
Author collections: David Franklin
Ten Rules for Better Charts, Figures and Visuals
Source category: Data Visualization and Reporting
Author collections: Kirk Paul Lafler
The Effect of Bethanechol on Tracheobronchomalacia in Infants
Source category: e-Posters
Author collections: Chary Akmyradov
The Flexible Ways to Create Graphs for Clinical Trial
Source category: Data Visualization and Reporting
Author collections: Hong Zhang · Kaijun Zhang
The implementation of Scrum in Pharmaceutical Data Analytics and Statistical Programming
Source category: Strategic Implementation & Innovation
Author collections: Jagan Mohan Achi · Eliana D’Angelo
The Interview Process: An Autistic Perspective
Source category: Leadership Skills
Author collections: Laura Needleman
The Phantom of the ADaM: adding missing records to BDS datasets
Source category: Data Standards
Author collections: Anastasiia Drach
Tips and traps on how to efficiently accelerate clinical trials to successful submission, approval, and launch
Source category: Strategic Implementation & Innovation
Author collections: Michael Nessly
Tips to Read In and Output Excel Spreadsheets in SAS
Source category: Quick Programming Tips
Author collections: Chao Su · Jaime Yan · Changhong Shi
Tired of Manual Language Translation? Give it a REST!
Source category: Solution Development
Author collections: Shawn Hopkins
Top 5 gotchas for getting cloud ready in SAS Viya
Source category: Advanced Programming
Author collections: Charu Shankar
Traceability: Not just about Data
Source category: Metadata Management
Twenty Ways to Run Your SAS® Program Faster and Use Less Space
Source category: Advanced Programming
Author collections: Stephen Sloan
Understanding Administrative Healthcare Datasets using SAS programming tools.
Source category: Hands-On Training
Author collections: Jayanth Iyengar
Undo SAS® Fetters with Getters and Setters—Supplanting Macro Variables with More Flexible, Robust PROC FCMP User-Defined Functions That Perform In-Memory Lookup and Initialization Operations
Source category: Hands-On Training
Author collections: Troy Hughes
Using Bundles for R Package Management
Source category: Solution Development
Author collections: Magnus Mengelbier
Using P21 Checks to Help Your DM Out!
Source category: Quick Programming Tips
Author collections: Chad Fewell · Jesse Beck
Using R to Automate Clinical Trial Data Quality Review
Source category: e-Posters
Author collections: Melanie Hullings · Emily Murphy · Andrew Burd
Using R to Create Population Pharmacokinetic Dataset
Source category: Solution Development
Author collections: Prema Sukumar · Neelima Thanneer
Using SQL Dictionaries to Research the Global Symbol Table
Source category: Advanced Programming
Author collections: Ronald Fehd
Using the R interface in SAS ® to Call R Functions and Transfer Data
Source category: Advanced Programming
Author collections: Bruce Gilsen
Validating novel maraca plots – R and SAS love story
Source category: Statistics and Analytics
Author collections: Nicole Major · Srivathsa Ravikiran
Visualization for Success: Driving KPIs and Organizational Process Improvements via Portfolio-level Analytics
Source category: e-Posters
Author collections: Philip Johnston · Julie Ann Hood
Was the load okay?
Source category: Solution Development
Author collections: Lisa Eckler
We Can Work it Out: Dos and Don’ts for Small Biotech and CRO NDA/BLA submission partnership
Source category: Strategic Implementation & Innovation
Author collections: Charity Quick