Bayesian Predictive Probability for Trial Monitoring
A practical and mathematical guide to Bayesian predictive probability for clinical trial monitoring, including posterior distributions, beta-binomial predictive probabilities, interim decision rules, early stopping for efficacy and futility, a complete worked example, and R implementation.
Bayesian Model Averaging in Clinical Research
A practical guide to Bayesian Model Averaging in clinical research, including model uncertainty, posterior model probabilities, Bayesian model averaging, clinical trial applications, variable selection, prediction, and a complete worked example.
Bayesian Meta-Analysis Methods
A practical and mathematical guide to Bayesian meta-analysis, including fixed-effect and random-effects models, prior distributions, posterior distributions, heterogeneity, predictive distributions, credible intervals, forest plots, sensitivity analysis, and R implementation.
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.
BDS vs. ADaM Dataset Structures
A practical guide to BDS versus other ADaM dataset structures, including ADSL, BDS, OCCDS, one-record-per-subject versus repeated-measures structures, PARAM and PARAMCD, AVAL, BASE, CHG, PCHG, analysis flags, traceability, examples, and SAS and R implementation.
Automating TLF Production Pipelines in R
A practical guide to automating clinical trial Tables, Listings, and Figures in R, including ADaM-driven programming, reusable functions, specifications, validation, QC, logging, reproducibility, batch execution, and production pipeline design.
Accelerated Titration Designs
A computational guide to accelerated titration designs for Phase I oncology trials, including rapid dose escalation, intrapatient dose escalation, dose-limiting toxicity, moderate toxicity, transition to conventional escalation, dose-toxicity modeling, and a complete worked example.