A Shiny app for graphical multiplicity control
-
Updated
Feb 24, 2026 - R
A Shiny app for graphical multiplicity control
CRAN Task View: Clinical Trial Design, Monitoring, and Analysis
AI-Driven Clinical Trial Matching & Protocol Optimization System
An R package for designing preference-based clinical trials
💊 MediPharma — AI-driven drug discovery. ChEMBL 2.4M compounds, OpenTargets, ADMET prediction.
Claude Code plugin & MCP server for Phase 2/3 clinical trial design. 9 tools: single-primary (binary/continuous/PH+NPH survival), multi-hypothesis (co-primary, multi-population, Maurer-Bretz). Backed by gsDesign, gsDesign2, graphicalMCP. Word/PDF reporting, Monte-Carlo verification, 176-case benchmark corpus.
Add a description, image, and links to the clinical-trial-design topic page so that developers can more easily learn about it.
To associate your repository with the clinical-trial-design topic, visit your repo's landing page and select "manage topics."