Facilitating Seamless SAS-to-R Transition in Clinical Data Analysis: A Finetuned LLM Approach
Source category: Strategic Implementation & Innovation
Author collections: Chaitanya Pradeep Repaka · Santhosh Karra
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Clinical Programming Papers and PresentationsPage 18
Clinical programming connects study data, standards, analysis and reporting. Explore implementation papers on clinical trials, validation and repeatable workflows, then follow a focused topic for a particular dataset or deliverable.
981 papers · Showing 341–360
Failed Clinical Trials: How to Benefit From Negative Experience
Source category: Trends & Technology
Author collections: Anna Amosova · Yuliia Cherednichenko
FAIRification of Preclinical Data in Radiation Oncology Through Data Standardisation and Formalised Representation
Source category: Data Standards & Governance
Finding Out Subject Compliance Data in Clinical Trials
Source category: Data Handling & Engineering
From Missing to Meaningful: Tackling Partial Dates in Clinical Trials
Source category: Poster Presentations
Author collections: Bhargav Koduru · Santosh Reddy Lekkala
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model
Source category: Real-world Evidence
Author collections: Jeffrey Abolafia
Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency
Source category: Therapeutic Areas Specific Topics
Author collections: Sascha Ahrweiler
Generation of Synthetic Data for Clinical Trials in Base SAS using a 2-Phase Discrete-Time Markov and Poison Rare Event Framework
Source category: Advanced Programming
Generative AI: A Clinical Programmer’s Friend!
Source category: Coding Tips & Tricks
Author collections: Karl Kennedy
Good Statistical Monitoring {gsm}: An R Package for Risk-Based Monitoring and Clinical Trial Analytics
Source category: Analytics Risk-based Monitoring
Author collections: Matt Roumaya · Jeremy Wildfire
Harness the Data’s Potential in a Clinical Trial Process
Source category: Poster Presentations
Author collections: Eva Kelty · Catharina Dahlbo
ICH M11 Clinical Electronic Structure Harmonised Protocol (CeSHarP) and CDISC: Making the Electronic Protocol a Reality
Source category: Data Standards & Governance
Author collections: Peter Van Reusel
ICH M11 Clinical Electronic Structured Harmonised Protocol (CeSHarP) and CDISC: Making the Electronic Protocol a Reality
Source category: Data Standards & Governance
Author collections: Peter Van Reusel
Identifying Data Quality Issues in Clinical Trials Using OpenAI Embeddings
Source category: Innovation Challenge
Interactive Session – The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions – A PHUSE Manuscript
Source category: Technology & Applications
Author collections: Katja Glass · Michael Rimler
Interfacing with Large-scale Clinical Trials Data: The Database for Aggregate Analysis of ClinicalTrials.gov
Source category: Real World Evidence and Big Data
Author collections: Joshua Cook
Large Language Models to Support RBM and Clinical Trial Development
Source category: Innovation Challenge
Leading Teams Through Clinical Data Transformation with Storytelling
Source category: People Leadership & Management
Author collections: Alison Banda
Leveraging ‘Ensemble’ Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission
Source category: Machine Learning, AI and Large Language Models
Author collections: Venu Mallarapu
Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer’s Guide
Source category: Analytics & Statistics
Author collections: Vismaya Kondassam Veedu