CDISC Standards for Medical Devices: Historical Perspective and Current Status
Source category: Medical Devices
Author collections: Carey Smoak
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PharmaSUG Papers ArchivePage 33
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 1281–1320
CDISC-compliant Implementation of iRECIST and LYRIC for Immunomodulatory Therapy Trials
Source category: Data Standards
Author collections: Kuldeep Sen · Yang Wang
Challenges and solutions for e-data submission to PMDA even after submission to FDA
Source category: Submission Standards
Author collections: Akari Kamitani · Yura Suzuki · Malla Reddy Boda · Yoshitake Kitanishi
Chasing Master Data Interoperability: Facilitating Master Data Management Objectives Through CSV Control Tables that Contain Data Rules that Support SAS® and Python Data-Driven Software Design
Source category: Applications Development
Author collections: Troy Hughes
Clinical Database Metadata Quality Control: Two Approaches using SAS and Python
Source category: Applications Development
Color Data Listings and Color Patient Profiles
Source category: ePosters
Author collections: Charley Wu
Creating SDTMs and ADaMs CodeList Lookup Tables
Source category: Data Standards
Author collections: Sunil Gupta
Data Library Comparison Macro %COMPARE_ALL
Source category: Applications Development
Author collections: Jeffrey Meyers
Data Review: What’s Not Included in Pinnacle 21?
Source category: Submission Standards
Author collections: Jinit Mistry · Lyma Faroz · Hao Meng
Data Transformation: Best Practices for When to Transform Your Data
Source category: Data Standards
Author collections: Janet Stuelpner · Olivier Bouchard · Mira Shapiro
Dating for SAS Programmers
Source category: Advanced Programming
Author collections: Josh Horstman
Demographic Table and Subgroup Summary Macro %TABLEN
Source category: Applications Development
Author collections: Jeffrey Meyers
Demystifying SDTM OE, MI, and PR Domains
Source category: Data Standards
Author collections: Lyma Faroz
Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers’ Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models
Source category: ePosters
Author collections: Thu Dinh · Goutam Chakraborty
Diaries and Questionnaires: Challenges and Solutions
Source category: Statistics and Analytics
Author collections: Marina Komaroff
Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript
Source category: Data Visualization and Reporting
Author collections: Hong Yan
End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA
Source category: Submission Standards
Author collections: Joy Zeng · Varaprasad Ilapogu
Enhanced Visualization of Clinical Pharmacokinetics Analysis by SAS GTL
Source category: Data Visualization and Reporting
Ensuring Consistency Across CDISC Dataset Programming Processes
Source category: Data Standards
Author collections: Jennifer Fulton
Fuzzy Matching Programming Techniques Using SAS® Software
Source category: Advanced Programming
Author collections: Stephen Sloan · Kirk Paul Lafler
Generating ADaM compliant ADSL Dataset by Using R
Source category: ePosters
Getting It Right: Refinement of SEND Validation Rules
Source category: Submission Standards
Author collections: Kristin Kelly
Gradient Descent: Using SAS for Gradient Boosting
Source category: Artificial Intelligence (Machine Learning)
Author collections: Karen Walker
Great Time to Learn GTL: A Step-by-Step Approach to Creating the Impossible
Source category: Data Visualization and Reporting
Author collections: Richann Watson
Hidden Gems in SAS Display Manager: Old Wine in New Bottle
Source category: Advanced Programming
Highlight changes: An extension to PROC COMPARE
Source category: Quick Tips
Author collections: Abhinav Srivastva
How to Achieve More with Less Code
Source category: Advanced Programming
Author collections: Timothy Harrington
How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process
Source category: Artificial Intelligence (Machine Learning)
Author collections: Yuichi Nakajima
Impact of WHODrug B3/C3 Format on Coding of Concomitant Medications
Source category: Data Standards
Author collections: Lyma Faroz · Jinit Mistry
Implementation of Immune Response Evaluation Criteria in Solid Tumors (iRECIST) in Efficacy Analysis of Oncology Studies
Source category: Data Standards
Author collections: Weiwei Guo
Implementing a LEAD Function for Observations in a SAS DATA Step
Source category: Quick Tips
Author collections: Timothy Harrington
Implementing Quality Tolerance Limits at a Large Pharmaceutical Company
Source category: Statistics and Analytics
Author collections: Steven Gilbert
Improving the Quality of Define.xml: A Comprehensive Checklist Before Submission
Source category: Submission Standards
Is Your Dataset Analysis-Ready?
Source category: Data Standards
Author collections: Kapila Patel · Nancy Brucken
It’s All about the Base—Procedures, Part 2
Source category: Advanced Programming
Author collections: Jane Eslinger
Leadership Lessons from Start-ups
Source category: Leadership Skills
Author collections: Siva Ramamoorthy
Leading without Authority: Leadership At All Levels
Source category: Leadership Skills
Author collections: Janette Garner
Library Datasets Summary Macro %DATA_SPECS
Source category: Data Visualization and Reporting
Author collections: Jeffrey Meyers
Like, Learn to Love SAS® Like
Source category: Advanced Programming
Author collections: Louise Hadden
Macro for controlling Page Break options for Summarizing Data using Proc Report
Source category: Quick Tips
Author collections: Sachin Aggarwal · Sapan Shah