A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage

Statistics in Medicine ComPAS: A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage DOI:10.1002/sim.8026

Author: Rui Tang alsammi@gmail.com; Jing Shen; Ying Yuan yyuan@mdanderson.org


Statistics in Medicine ComPAS: A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage DOI:10.1002/sim.8026

Empirical frequency of the outcome based on the loaded trial results

        

Statistics in Medicine ComPAS: A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage DOI:10.1002/sim.8026

Plot In Progress


        

Statistics in Medicine ComPAS: A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage DOI:10.1002/sim.8026

Simulation Input/Output

Various Bayesian prior models are used as candidates. We select the model with the highest posteriormodel probability to make inference and adaptive decisions of dropping futile/toxic combination and graduating. Please update compound number, backbone number, event prob. (predp) and other simulation parameters and click simulation.

Simulation In Progress


            

Statistics in Medicine ComPAS: A Bayesian Drug Combination Platform Trial Design with Adaptive Shrinkage DOI:10.1002/sim.8026