Clinical trial design, end‑to‑end.
A unified workbench for designing, simulating, and comparing trials across all phases. Built on the same R packages statisticians already use.
20 designs across 7 families
Compare scenarios within a design or across designs under one scientific question.
Phase I dose finding
MTD search, algorithmic and model-based.
Phase III two-arm
Confirmatory sample size for three endpoint families.
Treatment selection
Multi-arm and adaptive selection.
Non-inferiority
NI margin sample size, three endpoints.
Phase II single arm
Two-stage and single-stage screening.
Phase II dose response
MCP-Mod and Emax non-linear fit.
Dose optimization
Project Optimus, OBD with toxicity and efficacy.
Every design is a thin adapter over published R packages: rpact, DoseFinding, BOIN, Keyboard, dfcrm, clinfun. No black box.
Compare different designs under the same scientific objective. Within-design scenario stacking is included; the cross-design view is what makes Trialchemy more than a calculator.