Ensuring Data Integrity: A Three-Step Approach to Clinical Dashboard Validation
Source category: Data Handling & Engineering
Author collections: Kris Wenzel
THE COMMUNITY ARCHIVE
Clinical Programming Papers and PresentationsPage 12
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 221–240
Ensuring Data Integrity: Techniques for Validating SDTM Datasets in Clinical Research
Source category: Submission Standards
Evaluation of Open-Source Technologies in Clinical Trial Reporting
Source category: Poster Presentations
Author collections: Jaimin Patel
Everyday AI for Statistical Programmers: Global Implementation of a Clinical Analysis Assistant
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Mathieu Cayssol
FAIRchive Cloud-Based and GxP-Compliant Long-Term Archiving for Clinical Trial Data
Source category: Data Handling & Data Engineering (DH)
Author collections: Alexander Lüders
Fit-For-Purpose Approach of RBQM in Small Clinical Trials
Source category: Analytics & Statistics (AS)
Author collections: Agnes Verhoeven
Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources
Source category: Data Handling & Data Engineering (DH)
From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials
Source category: Professional Development
From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management
Source category: Emerging Trends
Author collections: Christina Dinger · Joe Lebers
From Overload to Insight: Personal Knowledge Management for Clinical Data Scientists in the Age of Generative AI
Source category: Professional Development (PD)
Author collections: Sascha Ahrweiler
Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning
Source category: Data Standards & Governance
Author collections: Shivoy Pandita
Gen AI-Powered Trial Performance Co-Pilot to Accelerate Clinical Trials
Source category: Machine Learning, AI and Large Language Models
Generate Clinical Study Reports (CSRs) Using {quarto} and {shiny}
Source category: OS
Author collections: Peng Zhang
Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights
Source category: Artificial Intelligence and Machine Learning
Author collections: Weijie Yang
Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation
Source category: Strategic Implementation & Innovation
Author collections: Kevin Lee
GPT-Powered Data Insights: Advancing Clinical Data Analytics with Large Language Models (LLMs)
Source category: Machine Learning, AI and Large Language Models
Author collections: Melanie Hullings
Guidance from the FDA authored “Submitting Patient-Reported Outcome Data in Cancer Clinical Trials” and recommendations for their implementation in study CDISC COA data.
Source category: e-Posters
Author collections: Charity Quick
Harnessing Analysis Results Datasets (ARDs) for Clinical Reporting in R: Our First ARD-Based Filing Experience
Source category: OS
Author collections: Daniel Sjoberg
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use
Source category: OS
Author collections: Sanyogeeta Andhale · Shilpa Sood
How to compute common clinical trials statistics in R
Source category: R, Python, and Open Source Technologies
Author collections: Oleksandr Babych