Installation
About
Simulation and analysis of Bayesian adaptive clinical trials for binomial, Gaussian, and time-to-event data types, incorporates historical data and allows early stopping for futility or early success. The package uses novel and efficient Monte Carlo methods for estimating Bayesian posterior probabilities, evaluation of loss to follow up, and imputation of incomplete data. The package has the functionality for dynamically incorporating historical data into the analysis via the power prior or non-informative priors.
github.com/thevaachandereng/bayesCT/ | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 7 0% |
Last 7 days | 45 -37% |
Last 30 days | 252 -10% |
Last 90 days | 746 -24% |
Last 365 days | 3.438 -19% |