PharmaSUG 2025 Papers ArchivePage 4

Geocoding with the Google Maps API: Using PROC FCMP To Call User-Defined SAS® and Python Functions That Geocode Coordinates into Addresses, Calculate Routes, and More!

Troy Hughes

Source category: R, Python, and Open Source Technologies

Author collections: Troy Hughes

Get Started with ChatGPT and DeepSeek in SAS

James Austrow

Source category: Artificial Intelligence and Machine Learning

Author collections: James Austrow

Get Tipsy with Debugging Tips for SAS® Code: The After Party

Lisa Mendez; Richann Watson

Source category: Advanced Programming

Author collections: Lisa Mendez · Richann Watson

Getting under the ‘umbrella’ of Specimen-based Findings Domains!

Soumya Rajesh; Kapila Patel

Source category: Data Standards

Author collections: Soumya Rajesh · Kapila Patel

Going from PROC SQL to PROC FedSQL for CAS Processing – Common mistakes to avoid.

Vijayasarathy Govindarajan

Source category: Real World Evidence and Big Data

Author collections: Vijayasarathy Govindarajan

Guidance from the FDA authored “Submitting Patient-Reported Outcome Data in Cancer Clinical Trials” and recommendations for their implementation in study CDISC COA data.

Charity Quick

Source category: e-Posters

Author collections: Charity Quick

Handling Health Regulatory Information Requests: Best Practices and Strategies

Himanshu Patel; Chintan Pandya

Source category: Submission Standards

Author collections: Himanshu Patel · Chintan Pandya

Handling Missing Data in External Control Arms: Best Practices, Recommendations, and SAS Code Examples

Yutong Zhang

Source category: Statistics and Analytics

Hands-on Training: eTFL Portal & TFL Designer Community

Bhavin Busa

Source category: Hands-On Training

Author collections: Bhavin Busa

Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing

Bhavin Busa; Navin Dedhia

Source category: Artificial Intelligence and Machine Learning

Author collections: Bhavin Busa · Navin Dedhia

How Not to Drown in Code When Pooling Data

Scott Burroughs

Source category: Advanced Programming

Author collections: Scott Burroughs

How Not to SAS: Avoiding Common Pitfalls and Bad Habits

Melodie Rush

Source category: Advanced Programming

Author collections: Melodie Rush

How to compute common clinical trials statistics in R

Oleksandr Babych

Source category: R, Python, and Open Source Technologies

Author collections: Oleksandr Babych

How to get your SAS’Python’R workout on a new SAS Viya Workbench.

Pritesh Desai; Samiul Haque

Source category: Solution Development

Author collections: Pritesh Desai · Samiul Haque

Identification of Domains Containing Screen Failure Participants in SDTMs and ADaMs for Reviewer’s Guides

Sumanjali Mangalarapu

Source category: Submission Standards

Author collections: Sumanjali Mangalarapu

Identifying Breaking Changes in R Packages: pkgdiff

David Bosak

Source category: R, Python, and Open Source Technologies

Author collections: David Bosak

Impact of Drug Accountability on Drug Compliance and Dose Intensity in Clinical Trials

Vishal Gandhi; Milan Adesara

Source category: Data Standards

Author collections: Vishal Gandhi · Milan Adesara

Implementation of the inverse probability of censoring weighting (IPCW) Model in Oncology Trials

Mei Huang; Shibani Harite; Haijun Ma; Linsong (Athena) Zhang

Source category: Statistics and Analytics

Author collections: Shibani Harite

Implementing Data Checks for Patient Registries — A Modular Approach

John Gerlach; Elizabeth Loisel

Source category: Advanced Programming

Author collections: John Gerlach

Improve Your CRF Review Process: A Python-Based Approach to Capturing CRFs via Browser Automation

Andrew Herndon

Source category: Solution Development

In-house Data Monitoring Committee Report Programming

Lingjiao Qi; Amanda Plaisted; Sreedhar Bodepudi

Source category: e-Posters

Author collections: Lingjiao Qi · Amanda Plaisted · Sreedhar Bodepudi

Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack

Sunil Kumar Pusarla; Avani Alla

Source category: Statistics and Analytics

Author collections: Sunil Kumar Pusarla · Avani Alla

Incorporating LLMs into SAS Workflows

Samiul Haque; Sundaresh Sankaran

Source category: Artificial Intelligence and Machine Learning

Author collections: Samiul Haque · Sundaresh Sankaran

Integrated R scripts to Power BI

Jun Yang

Source category: Data Visualization and Reporting

Author collections: Jun Yang

Integrating Collaborative Programming with Automated Traceability and Reproducibility in Pharma Studies and Real-World Data Projects by Adapting DevOps Best-Practices

Ariel Asper; Sundeep Bath; Jennifer Dusendang; Yuval Koren; Silvia Orozco

Source category: R, Python, and Open Source Technologies

Author collections: Jennifer Dusendang · Yuval Koren

Integrating Generative AI into Medical Writing: Building an Interactive Drafting and Search Framework

Tadashi Matsuno

Source category: Artificial Intelligence and Machine Learning

Integrating SAS DDE to Automate Excel Task Tracking in Pharmaceutical Statistical Programming

Amy Zhang; Huei-Ling Chen

Source category: Solution Development

Author collections: Amy Zhang · Huei-Ling Chen

Integration Contemplation: Considerations for a Successful ISS/ISE from Planning to Execution

Jennifer McGrogan; Mario Widel

Source category: Strategic Implementation & Innovation

Author collections: Jennifer McGrogan · Mario Widel

Interactive Longitudinal Data Analysis and Visualization in Clinical Research Using R.

Maria Gomez Ramirez

Source category: R, Python, and Open Source Technologies

Introduction to SAS Viya

Jim Box

Source category: Hands-On Training

Author collections: Jim Box

Jazz Up Your Profile: Perfect Patient Profiles in SAS® using ODS Statistical Graphics

Josh Horstman; Richann Watson

Source category: Data Visualization and Reporting

Author collections: Josh Horstman · Richann Watson

Key guidelines, Tricks and Experiences for PMDA and comparison with FDA and CDE submission

Ramesh Potluri

Source category: Submission Standards

Author collections: Ramesh Potluri

Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes

Sunil Kumar Pusarla; Avani Alla

Source category: Statistics and Analytics

Author collections: Sunil Kumar Pusarla · Avani Alla

Last Observation Carried Forward (LOCF) in Longitudinal Patient Studies: A Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS® Function Compiler

Troy Hughes

Source category: Advanced Programming

Author collections: Troy Hughes

Leading Through Change: Motivating Programming Teams During Mergers and Integrations

Shefalica Chand

Source category: Leadership and Professional Development

Author collections: Shefalica Chand

Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R

Kevin Lee

Source category: Artificial Intelligence and Machine Learning

Author collections: Kevin Lee

Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission

Rachana Agarwal; Wendy Wang

Source category: Real World Evidence and Big Data

Author collections: Rachana Agarwal

Leveraging previous study data for Extension studies: Structuring Subject and Participant Level Analysis datasets using CRF data

Priyanka Thumuganti

Source category: Submission Standards

Listing Shell To Sas Program Automation Tool

Balaji Ayyappan; Johnny Tai

Source category: Advanced Programming

Author collections: Balaji Ayyappan

Low-Code Solutioning in SAS Viya for Automated Clinical Data Quality, Decisioning and Harmonization

Mary Dolegowski; Scott McClain

Source category: Solution Development

Author collections: Mary Dolegowski · Scott McClain