Experimental Design | Geospatial Analytics
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Updated
Jan 25, 2025 - Jupyter Notebook
Experimental Design | Geospatial Analytics
A basic introduction to trial design for industry partners
PK/PD clinical trial simulator with virtual patients, adaptive randomization, external-control borrowing, and protocol optimization.
Optimal eligibility criteria for randomised trials: the half rule, in R and Python
AI-assisted recruitment feasibility and simulation platform designed to estimate recruitment outcomes using institutional research data.
Simulation-guided trial design for gastroenterology and hepatology: cited parameter packs, designs delegated to rpact and gsDesign, ADEMP reporting with Monte Carlo standard errors
R code for designing multicenter individually randomized group treatment trials, including sample size calculations, simulations, and examples. Companion to Tong, Tong, and Li (Biometrical Journal, 2024).
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