Longitudinal Bayesian Historical Borrowing Models
Check convergence diagnostics
Standardize data
Effective sample size (ESS)
Longitudinal hierarchical MCMC
Longitudinal independent MCMC
Longitudinal pooled MCMC
Run all MCMCs on a Sun Grid Engine (SGE) cluster.
Legacy function to compute superseded borrowing metrics
Plot the hierarchical model response against the benchmark models.
Plot the groups of the hierarchical model and its benchmark models.
Plot tau
Superseded: suggest a value of s_tau
Non-longitudinal hierarchical simulations.
Longitudinal independent simulations.
Longitudinal pooled simulations.
Model summary
historicalborrowlong: Bayesian longitudinal historical borrowing model...
Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical 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 longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Useful links