Traceability and AI for Improved Understanding, Communication and QC of Clinical Trials
Source category: Artificial Intelligence and Machine Learning
Author collections: Tomás Sabat Stofsel
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PharmaSUG Papers ArchivePage 13
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 481–520
Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence
Source category: Strategic Implementation & Innovation
Author collections: Chunqiu Xia · Hong Zhang · Xiaohui Wang
Translation from SAS® to R Using ChatGPT®
Source category: Artificial Intelligence and Machine Learning
Author collections: David Bosak · Brian Varney
Trying Out Positron: New IDE for Statistical Programming
Source category: Hands-On Training
Author collections: Phil Bowsher
Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies
Source category: e-Posters
Author collections: Jyoti (Jo) Agarwal
Unleash Your Coding Potential: SAS PRX Functions for Next-Level String Manipulations
Source category: Solution Development
Author collections: John LaBore
Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action
Source category: Data Visualization and Reporting
Author collections: Naquan Ishman
Unlocking Insights: Comparative Analysis of CRF Changes with R Shiny
Source category: R, Python, and Open Source Technologies
Author collections: Mayank Singh
Unlocking Success: Lessons from Building R-Based Statistical Packages in Pharma
Source category: R, Python, and Open Source Technologies
Author collections: Sydney Hyde · Yirong Cao
Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making
Source category: Leadership and Professional Development
Author collections: Anbu Damodaran
Updating Define-XML packages: Tips and A Comprehensive Checklist
Source category: Submission Standards
Use Gen AI to program rules in R & Python to generate and validate metadata for data standards and study specifications.
Source category: Metadata Management
Author collections: Priyanka Sawant · Kairav Tarmaster
Use of SAS Packages in the Pharma Industry – Opportunities, Possibilities and Benefits
Source category: Solution Development
Author collections: Bart Jablonski
Using SAS with Microsoft 365: A Programming Approach
Source category: Solution Development
Author collections: Chris Hemedinger
Validate the Code, not just the data: A system for SAS program validation
Source category: Advanced Programming
Author collections: Jayanth Iyengar
Visualize High Dimension Data Using t-SNE
Source category: Artificial Intelligence and Machine Learning
Author collections: Jun Yang
Visualizing oncology data through 3D bar charts in R and Python
Source category: Data Visualization and Reporting
Author collections: Girish Kankipati · Venkatesulu Salla
Visually Exploring Kaplan-Meier Curves Using SAS GTL and R survminer
Source category: Data Visualization and Reporting
Author collections: Yang Gao
What comes first, the chicken (ADSL) or the egg (ADNCA)? Modularize your covariate creation to support flexible analysis dataset implementation!
Source category: Data Standards
Author collections: David Izard
What’s black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS® Data Set
Source category: Hands-On Training
Author collections: Troy Hughes
When PROC SORT Isn’t Enough: Implementing Horizontal Sorting in SAS
Source category: Advanced Programming
Author collections: Jeff Xia
Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS.
Source category: Data Standards
Why SASSY?
Source category: Advanced Programming
Author collections: David Bosak
Worried about that Second Date with ISO®? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates
Source category: Advanced Programming
Author collections: Richann Watson
Writing SAS MACROs in R? R functions can help!
Source category: Advanced Programming
Author collections: Chen Ling · Yachen Wang
You don’t have to handle the truth! Three Things to Know about Synthetic Data
Source category: Real World Evidence and Big Data
Author collections: Catherine Briggs · Robert Collins · Sundaresh Sankaran
You’ve Got Options: Five-Star SAS® System Option Hacks
Source category: Advanced Programming
Author collections: Louise Hadden
Zero to Hero: The Making of a Comprehensive R Shiny Figures App
Source category: Data Visualization and Reporting
Author collections: Yi Guo
“Prompt it”, not “Google it” : Prompt Engineering for Statistical Programmers and Biostatisticians
Source category: Solution Development
Author collections: Kevin Lee
A ‘Shiny’ New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring
Source category: Data Visualization and Reporting
Author collections: Helena Belloff · Melanie Hullings
A Change is Gonna Come: Maintaining Company Culture, Managing Time Zones, and Integrating Teams after a Global Acquisition
Source category: Strategic Implementation & Innovation
A Deep Dive into Enhancing SAS/GRAPH® and SG Procedural Output with Templates, Styles, Attributes, and Annotation
Source category: e-Posters
Author collections: Louise Hadden
A fear of missing out and a fear of messing up : A Strategic Roadmap for ChatGPT Integration at Company Level
Source category: Strategic Implementation & Innovation
Author collections: Kevin Lee
A Framework for Risk-Based Oversight for Fully Outsourced Clinical Studies
Source category: Leadership Skills
Author collections: Anbu Damodaran · Neha Srivastava
A Gentle Introduction to SAS Packages
Source category: Hands-On Training
Author collections: Bart Jablonski
A New Approach to Automating the Creation of the Subject Visits (SV) Domain
Source category: Advanced Programming
Author collections: Xiangchen Cui · Jessie Wang · Min Chen
A New Way to Automate Data Validation with Pinnacle 21 Enterprise CLI in LSAF
Source category: Data Standards
Author collections: Crystal Cheng
A Practical Approach to Automating SDTM Using a Metadata-Driven Method That Leverages CRF Specifications and SDTM Standards
Source category: Metadata Management
Author collections: Xiangchen Cui · Min Chen · Jessie Wang
A Programmer’s Insight into an Alternative to TQT Study Data Submission
Source category: Submission Standards
Author collections: Raghavender Ranga
A quick guide to SDTM and ADaM mapping of liquid Oncology Endpoints.
Source category: Data Standards
Author collections: Shashikant Kumar