Interactive Schedule Grid

Interactive Schedule Grid

Welcome to the PharmaSUG 2026 Interactive Schedule Grid. Use the links below to jump to a portion of the schedule, then click on a paper title to view the abstract and other details!

(Revised 25-Apr-2026)

Monday AM Early

Monday AM Late

Monday PM Early

Monday PM Late

Tuesday AM Early

Tuesday AM Late

Tuesday PM Early

Tuesday PM Late

Wednesday AM Early

Wednesday AM Late

 


Monday AM Early

Section 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM
Keynote Keynote Session

Monday AM Late

Section 10:00 AM 10:15 AM 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM 11:45 AM
AI in Pharma, Biotech and Clinical Data Science How to Train Your Dragon – Embedding AI in Clinical Workflow. Illustrated through Oncology Swimmer Plots Data Without Borders: CDISC Data Hub for Multi-Language Clinical Analytics & AI Beyond Today’s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact Enhancing ADaM Specification Validation and Generation of SAS Codes Using LLM through Amazon Bedrock: A Practical Framework
Advanced Programming Take CoMmanD of Your Log: Using CMD to Check Your SASĀ® Program Logs The Problems Surrounding Rounding Implementing Laboratory Toxicity Grading for CTCAE Version 6 and Beyond Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=- šŸ˜‰
Advanced Statistical Methods Oncology Solid Tumor Subcutaneous vs Intravenous Late-stage Study Analysis Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) Beyond Imitation: Selecting Synthetic Data with Purpose and Precision A Faster Algorithm for the Finkelstein-Schoenfeld Test and Win Ratio in Hierarchical Composite Endpoint Analysis
Career Development, Leadership & Soft Skills Perspectives on Leading Effectively in Platform Trials: Leadership and Technical Approaches Authentic Leadership for SAS Programming Leaders From Programmer to Influencer: Strategic Leadership for Statistical Programmers in Clinical Development Soft Skills to Gain a Competitive Edge in the 21st Century Job Market
Emerging Technologies (R, Python, GitHub etc.) Current Review of Open Source in New Drug Applications: R & Python Easy Code Generation in R: The “macro” package Building ADaM Datasets from Scratch using R: A SAS programmer’s Perspective A Novel Approach to Inter-Collaboration using IDEs and GitHub
Hands-On Training “Virtual Data, Real Standards – Leveraging Data Simulation for Smarter Clinical Trials” Following Your Footsteps: Maintaining Traceability in ADaM Datasets
Real-World Data (RWD) and Real-World Evidence (RWE) Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Biostatistical Foundations 201: Privacy Preserving Patient Linkage Across Real World Data Sources Corticosteroids in severe COVID-19 across molecular endotypes and vaccination status: an Emulated Target Trial approach to benchmark to and extend upon findings from RE dbLoadTable: A Robust and Efficient Solution for Bulk Data Transfer in Real-World Evidence Analytics

Monday PM Early

Section 1:30 PM 1:45 PM 2:00 PM 2:15 PM 2:30 PM 2:45 PM 3:00 PM 3:15 PM
AI in Pharma, Biotech and Clinical Data Science The Next Frontier of Statistical Programming: Vibe Coding with AI Coding Agents into SAS, R & Python Accelerating CDISC SEND Conversion with AI: From Raw Preclinical Data to Regulatory-Ready Datasets Tips and Considerations for Preparing Health Data for Efficient and Accurate AI and LLM Modelling
Advanced Programming 2026 Efficiency Techniques in SAS 9.4 The Tipsy Hangover: Avoiding Indent Headaches in SAS Reports SAS Packages – an Ask About Anything Game
Advanced Statistical Methods Quantifying Expression Divergence to Identify Candidate RNA-Binding Proteins Modulating Nonsense-Mediated Decay Across Human Tissues Using t-SNE Embedding Analysis< Implementing Dynamic Time Warping in SAS 9.4 Using PROC IML: An Alternative Approach for Time-Series Model Evaluation Construction and Evaluation of External Controls Using Propensity Score Methods Linear versus Log- Log Confidence Intervals for Kaplan- Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4
Career Development, Leadership & Soft Skills Early-Careers Essentials: Practical Checklists for Manual TLF Review Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation Closing the Expectation Gap: A Leadership Framework for Clinical Programming Success Effective Collaboration Between Business, Technical and Quality Units in Building GCP Systems
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) CTCAE v6.0: The Good, the Bad, and the Ugly Navigating the Statistical Programming Strategies for Cytokine Release Syndrome (CRS) and ICANS in Oncology Clinical Trials. Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing? Human Beings Still Needed: Manual ADaM Checks that AI Can’t Do
Data Visualization & Interactive Analytics Three Ways to Over-Engineer Your SAS Custom Steps Swimmer Plots – Some Practical Advice Boston Breakthroughs: A Dashboard-Driven Approach to Metadata and Audit Trails with SAS Clinical Acceleration Introduction to Plotting with the PROCS Package
Emerging Technologies (R, Python, GitHub etc.) Regression Analysis Made Easy Using R The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization
Hands-On Training SAS Macro Debugging Techniques for Mere Mortals
Real-World Data (RWD) and Real-World Evidence (RWE) From Automation to Evidence: Governing LLMs and AI Agents in Real-World Outcomes Research PSMATCH: Propensity Score Matching of Clinical Trial Data with External Control Arms Contrast Effects in Curated Observational Data Operationalizing Real World Data for External Control Arms: An End to End Framework for Rare Disease and Oncology Trials
Tools, Tech & Innovation SAS for Microsoft 365: Integrating SAS Programs, Data, and Reports Across the Microsoft 365 Ecosystem Automating Bioresearch Monitoring (BIMO) Listings Using R Automated Quality Checks for SDTM and ADaM Datasets Using R Shiny

Monday PM Late

Section 4:00 PM 4:15 PM 4:30 PM 4:45 PM 5:00 PM 5:15 PM 5:30 PM
AI in Pharma, Biotech and Clinical Data Science Agentic R in Clinical Trials: Empowering Statistical Programmers with Open Source LLM Packages & Positron Tools From Molecular Subtypes to Bedside Decisions: An AI Approach for Personalized Critical Care Recommendations An Agentic AI Framework That Reads Statistical Analysis Plans and Generates TFL Table of Contents
Advanced Programming Applications of PROC COMPARE to parallel programming and other projects Code Hard and Put away Wet: Replacing Hardcoded SASĀ® Software Quality Checks with Data-Driven Design and Defensive Programming Techniques That Validate Code and Contro
Advanced Statistical Methods Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset
Career Development, Leadership & Soft Skills Navigating Career Transitions: From Programmer to Executive Leader From Statistical Programmer to Analytical Partner: Navigating the Future of Biostatistics Drowning in Trackers? Let R Be Your Lifeboat!
Data Visualization & Interactive Analytics Composite TLFs – A Combined Approach to Data Visualization Dynamic Patient Profile Plot Development with SAS Graph Template Language Path to Consistent Clinical Graphics: An R Shiny Gallery
Emerging Technologies (R, Python, GitHub etc.) Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Enhancing Your SAS Viya Workflows with Python: Integrating Python’s Open-Source Libraries with SAS using PROC PYTHON
Hands-On Training SAS Performance Tuning Techniques (From Slow to Scalable)
Panel Discussion ADaM Pet Peeves Part 2: More Things Programmers Do That Make Us Crazy
Real-World Data (RWD) and Real-World Evidence (RWE) Real World Data and CDISC – An Evolving Journey Assessing Quality of Real-World Data Sources Embracing Novel Approaches to Automated Causal Inference Framework
Tools, Tech & Innovation My DIY Swiss Army Knife of SASĀ® Procedures: A Macro Approach of Forging with My Favorite PROCs A fully automated PDF solution using SAS without third-party PDF tools From ChatGPT to Copilot: Evolving AI Support in SAS and Beyond

Tuesday AM Early

Section 8:00 AM 8:15 AM 8:30 AM 8:45 AM 9:00 AM 9:15 AM
AI in Pharma, Biotech and Clinical Data Science AI-Driven Intelligent Platforms for ADaM Specification and Code: Empowering Clinical Data Analysis SpecToSAS: Translating ADaM Specs to SAS code using RAG A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment
Advanced Programming ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation Programming Challenges in Developing PRO Analysis Datasets Under FDA’s New Submission Guidance Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging
Career Development, Leadership & Soft Skills Delegation as a Quality Strategy: Building Accountable Biometrics Teams Strategic AI Coaching for Life Sciences: A Framework for Industry Leaders and Managers AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) ISO 8601 and SASĀ®- “and R! A Practical Approach Friction to Flow: LLM-Based Automation of Clinical Data Workflows Improving Risk-Based QA in Outsourced Studies Using Cross-Domain ADaM Derivation Comparisons
Data Visualization & Interactive Analytics Designing a modular and interactive visualization tool for DMC Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials From Static to Dynamic: Leveraging R Shiny for Tumor Response Data Review
Emerging Technologies (R, Python, GitHub etc.) An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics Bridging the Gap A Python-Word Integration for Detecting Ghost Page Breaks in SAS-Generated RTFs Engineering secure and reproducible R based clinical programming systems using open source DevSecOps practices.
Hands-On Training Getting Started with R Clinical Programming
PK/PD/ADA and Quantitative Pharmacology Dissecting PK/PD Data from Analysis to Submission: Breaking the Black Box for Efficient Programming Navigating Early Career Challenges in PK/ADA Statistical Programming An End-to-End R-Based Pharmacokinetics (PK) Workflow for Regulatory Submission: The INAVO120 Study From Chaos to Clarity: A Programmer’s Perspective on Standardizing Population Pharmacokinetic (PopPK) Data for Regulatory Success
Submission Standards for Global Health Authorities A Practical Approach to Multiple-Period CLINSITE Preparation Post-DBL Programming Update Tracker: Automating Revision Capture to Strengthen Audit Readiness, Oversight, and Compliance Across Programs and ADaM Specifications</t Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability
Tools, Tech & Innovation Bridging the Gap: Table-Driven SAS Programming as a Pathway to AI in Clinical Trials Statistical Programming Taming Polyglot Analytics: Simplifying Cross-Language Workflows in a Unified IDE aCRF In Full: A Complete Solution for Relatively Little Work

Tuesday AM Late

Section 10:00 AM 10:15 AM 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM 11:45 AM 12:00 PM
AI in Pharma, Biotech and Clinical Data Science A specification-driven approach to improve the reliability of AI-generated SDTM transformation programs A Human-in-the-Loop AI-Assisted Framework for ADaM Standardization Protocol Analysis, Optimisation and Generation: Artificial Intelligence Enables a Unified View Building a Model Context Protocol Server for AI-Driven Workflow Automation
Advanced Programming Detecting Abnormal Page Breaks Using Grayscale Pixel-Density Analysis in R Shiny Modernizing Clinical Research Analytics with Cloud- ‘Optimized SAS Procedures Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials Patient-Level, Dose-Stratified Swimmer Plots for Comparative Adverse Event Time-Course Assessment in Clinical Trials Using SASĀ® PROC TEMPLATE
Career Development, Leadership & Soft Skills Leading with Presence from Afar: Building Trust and Engagement in Distributed Biometrics Teams When Code Isn’t Enough: Communication and Leadership Skills for Statisticians and Programmers
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) Two Approaches to Phase-Specific TRTEMFL in ADAE: A Neoadjuvant- Adjuvant Case with Surgery Between Phases SDTMIG v4.0: Are You Ready For It? Approaches Integrating SAS LSAF and Pinnacle 21 Enterprise for SDTM/ADaM Dataset Validation Handling multiple screenings and multiple enrollments in SDTM: CDISC and FDA Guidance
Data Visualization & Interactive Analytics Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visua From Static Outputs to Living the Data – A Visualization framework transforming Clinical Data into a Continuous Asset AI-Recommended Color Palettes with QC for R Shiny Figures The Best Data Dashboard Alternative: More Efficient But Equally Effective Performance Monitoring and Reporting
Emerging Technologies (R, Python, GitHub etc.) Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages A Governed Git Workflow Using Azure Repos for GxP Compliant Statistical Programming Modern Data Science with SAS Viya Workbench: Unified Development with SAS, Python, and R Breaking the Shell: Validated R Workflows To Meet FDA Standards
Hands-On Training Accelerating Code Translation and Generation with ChatGPT
PK/PD/ADA and Quantitative Pharmacology Early Restricted Unblinded PK Data Access (ERUPA): Framework to Accelerate PopPK and ERES Deliverables Through Data-Centric, Firewalled Workflows Enhancing ADaM PK Datasets to Automate PK TFLs Generation Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits
Submission Standards for Global Health Authorities Closing the Loop: Validating AI-Generated SDTM Mappings using CDISC CORE and Synthetic Data Statistical Programmer’s role in using Lorenz eValidator to validate contributions to eCTD From Data Flood to Insight: Efficient SDTM Validation for High-Frequency Sources Investigator-Initiated Trials: Navigating Statistical Programming Challenges with Practical Solutions
Tools, Tech & Innovation SAS to R: A Practical Bridge for Programmers From SAS Servers to AI Agentic SCEs: Integrating Agentic AI into GxP-Compliant Biometrics Workflows Structure-Preserving Preprocessing of Clinical Documents for Large Language Model Analysis From SAP to CSR: A Metadata-Driven TFL Workflow

Tuesday PM Early

Section 1:30 PM 1:45 PM 2:00 PM 2:15 PM 2:30 PM 2:45 PM 3:00 PM 3:15 PM 3:30 PM
Advanced Programming From Tables to Tolerances: The Evolving Role of Statistical Programmers in Risk-Based Quality Management (RBQM) Stop Guessing. Start Matching. High-Impact SAS PRX Patterns in 20 minutes Having Your Cake and Eating It Too: Automated Log Analysis Without Losing the SAS EG Log Window Do One Task, Get Another Done for Free: Use DEFX Tags in Comments to Fill Out Your define.xml
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) Intelligent Implementation of Data Standards: A New Era of Efficiency and Consistency From Specification to SDTM at Speed: Deploying the SDTM Engine in Production Analysis Concepts role within the CDISC 360i vision Beyond WHODrug: Insight into Concomitant Medication Data Analysis
Data Visualization & Interactive Analytics The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets A Map to Success with Data Visualization Using ODS Statistical Graphics
Emerging Technologies (R, Python, GitHub etc.) Creating Reproducible Clinical Output with SASSY- Reporter Package Reproducing the SAS DATE and TIME formats with {fmtr} package in R mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming R-Based Translation of Japanese Characters in Clinical Datasets for Regulatory Reporting Automated Delta Detection: A Scalable R-Shiny Framework for Comparing Clinical Datasets
Hands-On Training Vibe Coding: Coding with Agentic AI ( Hands-On Tutorial)
PK/PD/ADA and Quantitative Pharmacology A systematic approach for imputing missing dose information in population pharmacokinetic analysis datasets SAS and R for Expanding Data for Pharmacometrics Analysis (PMx) Analysis Data Sets Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation
Panel Discussion The Impact of AI and Automation on Statistical Programming: Opportunities, Risks, and the Path Forward
Submission Standards for Global Health Authorities Efficiency in Action: Automating Bookmarking for CRFs and Other Regulatory Submission Documents Lessons to Guardrails: Operationalizing Early Checks for FDA Submission Readiness Structure for Success: Delivering a Complex, Accelerated NDA with Evolving Scope Beyond the First Draft: How Generative AI Is Redefining Medical Writing in Pharma
Tools, Tech & Innovation A Fantasy in Three with PROC FCMP: Memoization of Resource-Intensive Calculations, in-Memory Hash-Object Storage and Retrieval Operations, and Disk-Based Persistent Dat Enhancing Quality and Efficiency in Clinical Programming with a Python-Based Automated File Comparison Tool From Suspicion to Evidence: Automating Character Truncation Risk Audits with a Parameterized SAS Macro and Review-Ready Excel Output TOON Format: A Token-Efficient Data Exchange Solution for AI-Enhanced Clinical Programming Sync & Scale: Empowering Cloud Hub & Team Synergy with SAS Bridge

Tuesday PM Late

Section 4:00 PM 4:15 PM 4:30 PM 4:45 PM 5:00 PM 5:15 PM 5:30 PM
AI in Pharma, Biotech and Clinical Data Science Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation An AI Framework for CSR, using Microsoft CoPilot: Traceable Side by Side Efficacy Comparisons:
Advanced Programming SASĀ® Programming techniques for efficiency and code optimization AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability Finding Macros Called Within A Directory of SASĀ® Programs
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) SUPP to NSV: Transforming Data Representation for Improved Reviewer Utility Why Standards Matter More Than Code in the Age of GenAI
Data Visualization & Interactive Analytics Ten Rules for Better Charts, Figures and Visuals Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy
Emerging Technologies (R, Python, GitHub etc.) Automating Git Workflows in SAS with Git Functions Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron Building Better Data Science Workflows: Best Practices with Git, GitHub, and Data Version Control (DVC) for Effective Collaboration The Open Source Advantage: Powering Innovation in the 21st Century
Submission Standards for Global Health Authorities Continuous GxP: Implementing Change Control and Revalidation for a Living Open Source Library
Tools, Tech & Innovation R Package Management in LSAF: Challenges and Solutions Global Macro for Master Tracker Trust but Verify: How ChatGPT and SAS Can Be Comrades!

Wednesday AM Early

Section 8:00 AM 8:15 AM 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM
AI in Pharma, Biotech and Clinical Data Science Operationalizing Generative AI in Regulated Analytics: Applied Implementation Patterns for Enterprise Deployment Eliminating QC Programming Duplication Through Claude AI-Assisted Independent Code Generation: A Practical Framework for Regulatory-Compliant Validation DoxySAS: An End-to-End AI-Powered SAS Documentation Pipeline AI-Augmented SDTM Review: A Practical Framework Enhanced by a Structured Prompt Library Improving AI SAS-to-R Code Migration via an Intermediate Design Document Layer
Advanced Programming Analysis Unlocked: Demystifying Kaplan-Meier (KM) Through a 9-Day Fasting Challenge for Programmers and Beginners Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Timing, Masking, and Resolution: Understanding and Debugging SAS Macros Appreciating PROC SUMMARY/MEANS in Many NWAYS vs Summary Function in R Has your SAS being ‘MEAN’ to your data yet?
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Picking Up the Pieces: Implementation of (the forgotten) ADaM Naming Fragments
Data Visualization & Interactive Analytics Be a Multi-Media Wizard: Make Your Output Dance and Sing From Reactive to Proactive: Transformation of clinical trial monitoring through Agentic AI for Smarter, Safer Clinical Trials
Emerging Technologies (R, Python, GitHub etc.) Challenges for small-mid size organization to build a GxP Compliant R Environment (CRE) AI-Enhanced R Shiny App for Real-Time Clinical TLF Coding and Preview A Practical Roadmap for Modernizing Legacy Clinical Applications Trusting Your R Packages: A Practical, Risk-Based Approach to External Package Validation Chatting with Your Data, Wherever It Lives: Unlock Insights through Duck DB and Open File Formats It’s a Wonderful Lifecycle: Translating Statistical Programming into Modern Analytics Development
Hands-On Training Understanding Administrative Healthcare Datasets using SAS programming tools.
Study Data Integration & Analysis Insights and Experience Sharing with Patient-Reported Outcome Data Analysis in FDA’s Submission From Data to Dossier: Lessons from Cross-Company Regulatory Submissions An Approach for Generating Tumor Biopsy Datasets for Drug Development
Tools, Tech & Innovation Boolean Rhapsody: 50 shades of true Is this the real code? Is this just fantasy?

Wednesday AM Late

Section 9:45 AM 10:00 AM 10:15 AM 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM
AI in Pharma, Biotech and Clinical Data Science AI-Powered Risk Management: Enhancing RBQM with Generative AI and Real-Time Insights Eligibility Meets Intelligence: Using AI to Bridge Protocol Complexity and Patient Access Automating Table Generation in Real-World Data Programming: An AI-Assisted Approach Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface Practical Lessons in AI-Assisted Metadata Conversion: From Database Specs to EDC and SDTM – ” Successes, Pitfalls, and Practical Implementation Using Large Language Models to Validate TLF Outputs Against Statistical Review Comments: An End-to-End Python Framework
Advanced Programming Experience of an R Programmer Incorporating R in a SAS Studio Flow User-defined Functions for Programming Population PK and PKPD Datasets One Word Can Make All the Difference(s): Strengthening Validation Practices with PROC COMPARE Advanced Parameterization Enables Advanced Statistical Programming The Log Whisperer: Still Reading SAS Logs? Start Ranking Them
Data Standards Implementation (CDISC, SEND, ADaM, SDTM) From Manual to Automated”: An SASĀ® and R-Based Toolkit for Scalable SDTM Generation
Data Visualization & Interactive Analytics Voice-driven Data Science: Real-Time Data Analysis with R From Exploratory Data Analysis to Machine Learning – Continuing My Python Journey A Standardized R Graph Library for Production-Ready Analysis Figures
Emerging Technologies (R, Python, GitHub etc.) Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective Reviewing and identifying issues in TFL macro parameter values with R shiny tool Survival Analysis, K-M curve, Hazard Ratio and Data Visualization using R Programming: A comprehensive approach
Study Data Integration & Analysis Algorithms to align the distribution of follow-up across independently collected cohorts when comparing time to event endpoints using conventional Kaplan Meier and Cox A Statistical Programmer’s Guide to Tipping Point Analysis in SAS Simplifying Clinical Site Oversight with GenAI Site Narratives: Transforming Raw Data into Actionable, Inspection-Ready Insights From Chaos to Consistency: Standardizing External Clinical Data with Excel Power Query Harmonizing History: A Framework for Deriving Line of Therapy in Complex Integrated Summaries.