Bayesian Hierarchical Models in Clinical Research
A practical and mathematical guide to Bayesian hierarchical models in clinical research, including partial pooling, exchangeability, multilevel models, between-study heterogeneity, subgroup analyses, repeated measures, historical borrowing, posterior prediction, prior specification, and clinical trial applications.
Bayesian Futility Analysis Explained
A practical and mathematical guide to Bayesian futility analysis in clinical trials, including posterior probabilities, predictive probability of success, Bayesian stopping rules, a complete worked example, prior sensitivity, simulation, and R implementation.
Bayesian Borrowing of Historical Control Data
A practical and computational guide to Bayesian borrowing of historical control data in clinical trials, including commensurate priors, power priors, robust borrowing, effective sample size, posterior inference, operating characteristics, and a complete worked example.
Bayesian Adaptive Randomization
A practical and mathematical guide to Bayesian adaptive randomization in clinical trials, including posterior probabilities, response-adaptive allocation, Bayesian updating, allocation rules, a complete worked example, simulation, operating characteristics, and R implementation.