Non-Longitudinal Bayesian Historical Borrowing Models
Check convergence diagnostics
Standardize data
Effective sample size (ESS)
Hierarchical model MCMC
Independent-study model MCMC
Mixture model MCMC hyperparameters
Mixture model MCMC
Non-longitudinal pooled MCMC
Legacy function to calculate borrowing metrics
Plot a borrowing model response against the benchmark models.
Plot the groups of a borrowing model and its benchmark models.
Plot tau
Superseded suggest s_tau given a uniform prior on tau.
Non-longitudinal hierarchical simulations.
Non-longitudinal independent simulations.
Non-longitudinal mixture simulations.
Non-longitudinal pooled simulations.
Model summary
historicalborrow: Bayesian historical borrowing models for clinical st...
Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Useful links