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 SAS® 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=- 😉
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 SAS® 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 SAS® 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 SAS®- “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 SAS® 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	SAS® 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 SAS® 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 SAS® 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.