In this vignette, we will show the use of the `BayesianMCPMod` R package for trial planning for binary data. For this setting the main specifications need to happen on the logit scale, see also the ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

This repository holds open source Stan models, data simulators, and real data. There are models translating those found in books, most of the BUGS examples, and some basic examples used in the manual.

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Notice that the best design was found in three tries out of ten. It may be a good idea to repeat the search with more tries (see the ITER= option.) You can use the ALIASING option of the GLM procedure ...