Bayesian Power Prior Design
Bayesian sample size determination using the power and normalized powe...
Model fitting for generalized linear models with fixed a0
Model fitting for generalized linear models with random a0
Function for approximating the normalizing constant for generalized li...
Power/type I error calculation for generalized linear models with fixe...
Power/type I error calculation for generalized linear models with rand...
Power/type I error calculation for data with two groups (treatment and...
Power/type I error calculation for two groups (treatment and control g...
Model fitting for two groups (treatment and control group, no covariat...
Model fitting for two groups (treatment and control group, no covariat...
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at <doi:10.32614/RJ-2023-016>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.