Formatting outputs for clinical trial data to aid in readability
Source category: Industry Solutions
THE COMMUNITY ARCHIVE
Clinical Programming Papers and PresentationsPage 41
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 801–820
Handling Missing Data in Clinical Trials Using Topological Data Analysis
Source category: Machine Learning
Author collections: Sergey Glushakov · Andrey Rekalo
Hardcoding In Clinical Trials: A (Sometimes) Necessary Evil
Source category: Life Sciences Healthcare Insurance
File inside source ZIP: Life_Sciences_Healthcare_Insurance/SESUG2018_Paper-123_Final_PDF.pdf
Author collections: Gregory Weller
Harnessing Real-time Patient Data to Improve Clinical Outcomes and Research
Source category: Analytics, Big Data & Statistics
Author collections: Himanshu Pandya · Bob Engle
How Machine Learning Can Automate Data Standardization in Clinical Trials
Source category: Machine Learning
Implementation of Data Cut Off in Analysis of Clinical Trials
Source category: Data Standards
Author collections: Mei Dey
Implementation of Data Cut-off in Analysis of Clinical Trials
Source category: Analytics & Statistics
Author collections: Ann Croft
Innovation and Your Career in Rapidly Changing World of Clinical Trials and Data Science
Source category: Career Development & Leadership
Author collections: Richelle Serrano
Interactive Live Clinical Data Monitoring Dashboards with Drill-Down Using SAS & Microsoft Excel
Source category: Industry Solutions
Janus Clinical and Nonclinical Loading: The Most Common Issues Identified from Sponsor Submissions
Source category: Data Handling
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies
Source category: Data Visualization
Author collections: Kelci Miclaus · Lili Li
Machine Learning Driven Clinical Insights – What When & How?
Source category: Analytics, Big Data & Statistics
Author collections: Chandi Kodthiwada
Machine-learning-driven Clinical Insights – What, When and How?
Source category: Machine Learning
Path of Change – From Market Research to Clinical Trials
Source category: Career Development
Author collections: Eniko Bront
Reflections on a Career in Clinical/Statistical/SAS Programming (35+ Years in the Making)
Source category: Leadership
Author collections: Alan Meier
Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most
Source category: Strategic Implementation
Author collections: Amber Randall · William Coar
Role of Associate Director of Biomedical Informatics in Clinical Review at the FDA
Source category: Regulatory
Author collections: Nhi Beasley
SAS Life Science Analytical Framework (LSAF) in a Nutritional Clinical Research Setting
Source category: Trends & Technology
Spotfire® Clinical Visualizations from SAS® and R®
Source category: Health Sciences
Author collections: Zeqing Lu · Hillary Graham
Standard Analyses and Displays for Common Data in Clinical Trials -The Journey Continues!
Source category: Poster Presentations
Author collections: Nhi Beasley