Robust Python Coding Techniques to Automate, Validate, and Strengthen Data Quality Checks in Complex Pipelines
Source category: Coding Tips & Tricks
Author collections: Pavan Kumar Reddy Sakam
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PHUSE Papers ArchivePage 10
Browse indexed publications from PHUSE. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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3,716 papers · Showing 361–400
Rule-Based Auto-SDTM Mapping Software in Python, Which Automatically Generates Executable SAS or R Programs
Source category: Emerging Trends & Innovation
Author collections: Bill Zhang
Safeguarding CCI in the Age of AI
Source category: Pavilion
Author collections: Zach Weingarden
Safety at a Glance: Enhancing Participant Monitoring in Oncology Trials with Data Visualisation
Source category: Data Visualisations
Author collections: Agnieszka Bel
SAS EG Tips and Tricks from a Statistical Programmer’s Perspective
Source category: Coding Tips & Tricks
SAS to Python: A Hands-On Cheat Sheet for Statistical Programmers
Source category: Coding Tips & Tricks
Author collections: Jagadish Katam
SAS to R: CHEAT SHEET – A Practical Guide for Clinical Programmers
Source category: Poster Presentations
Author collections: Jalendhar Ettedi · Lekitha Jk
SAS to R: Opportunities and Challenges in SDTM and ADaM Transformation
Source category: Coding Tips & Tricks
Author collections: Jalendhar Ettedi
SASsy and Wise
Source category: Coding Tips & Tricks
Scalable Anonymisation for Complex Clinical Trial Data: A Sponsor–Vendor Perspective
Source category: Pavilion
Author collections: Abby McDonell
Scalable R Packages Qualification Using a CI/CD Approach
Source category: Risk-Based Quality Monitoring
Scaling Biometric Teams in Emerging Regions: Lessons from Armenia
Source category: Professional Development
Author collections: Arman Melkonyan
Scaling for the Future: Transitioning from In-House to Commercial Statistical Computing Environments
Source category: Emerging Trends & Innovation
Author collections: Hemu Shere · Majdoub Haloui
Scaling Interactive Apps for Clinical and RWE Impact
Source category: Data Visualisations
Author collections: Matthew Tendler
SCE White Paper 2.0 – A Modernised Framework for the Next Generation of Data Analysis
Source category: Emerging Trends & Innovation
Author collections: Mark Bynens
SDTM Automation: Implementation, Rollout and Lessons Learnt
Source category: Data Standards, Governance & Implementation
SDTM Navigator: An Agent-Based LLM Framework for Automated Specification and Programming
Source category: Software Demonstrations
Author collections: Jaya Simha Inampudi
SDTMIG v4.0: Are You Ready For It?
Source category: Data Standards, Governance & Implementation
Author collections: Kristin Kelly
Seamless Reproducibility: Version- Aware Global Macro Invocation in Statistical Computing Environments
Source category: Scripts, Macros & Automation
Author collections: Shilpa Sood
Semi-automating Case Report Form Annotations Using Python and a Metadata Repository
Source category: Data Handling & Engineering
Author collections: Alvin Mathew
Signal First: A Data-Driven Approach to Safety Prioritisation Using SAS and Tableau
Source category: Poster Presentations
Author collections: Rubina Pathan · Jinu J Nair
Solving the Fragmentation Challenge in Rheumatoid Arthritis (RA) Trials: Deriving Deeper Insights
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Author collections: Kirankumar Vyas
SPARC AI: A Native Metadata-Driven Engine for End-to-End Clinical Trial Analysis
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
SpectoSAS: AI-Powered Instant SAS Code Generation from Study Specs
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Standardisation of Auxiliary Medicinal Products (AxMPs) in Clinical Trials
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Standardising Exposure-Response Data for Modelling and Simulation Using CDISC Principles and {admiral}
Source category: Data Standards, Governance & Implementation
Author collections: Jeffrey Dickinson
Statistical Programming Methods for Evaluating the Impact of Immunogenicity on Safety and Efficacy Outcomes
Source category: Analytics & Statistics
Author collections: Dinesh Putluri
Straight to the Source: Interactive Visual Dashboards for Data Cleaning
Source category: Data Visualisations
Author collections: Daniel Smith
Strategic Approaches to Patient Centricity in Data Science
Source category: Pavilion
Streamlining Python and R Code Generation from SAP and Programming Specifications Using Multi-Agent LLMs
Source category: Coding Tips & Tricks
Author collections: Abhishek Mishra
Streamlining Report Reusability in SAS Viya: A REST API Approach
Source category: Scripts, Macros & Automation
Author collections: David Weik · Mary Dolegowski
Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards
Source category: Application Development & Software Demonstrations
Streamlining Statistical Programming with R: ADaM and TFL Validation Through a Compliant R Programming Environment
Source category: Scripts, Macros & Automation
Stronger Together: Tech Pathways to Workforce Resilience in Pharma
Source category: Professional Development
Author collections: Jaimin Patel
Submitting eCRT SDTM Data for ISS
Source category: Submissions & Agencies
Submitting RWD: Where We Are and Where We Are Going
Source category: Real-world Evidence
Author collections: Ingeborg Holt · Sarah Ferko
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R
Source category: Poster Presentations
Author collections: Venkata Koteswara Rao Rayala
Supporting Clinical Trial Recruitment Using Real-World Data
Source category: Real-world Evidence
Author collections: Yi-Chien Lee
Targeted Maximum Likelihood Estimation: A Unified Approach for Confounding and Selection Bias
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Author collections: Noel John · Mahjoob O M
Teaching Small Models To Think Big: Enterprise-Ready AI Through Knowledge Distillation
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Ramanathan Srinivasan · Angu Sundaresh Krishna Kumar