bacistool: Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials

Provides the design of multi-group phase II clinical trials with binary outcomes using the hierarchical Bayesian classification and information sharing (BaCIS) model. Subgroups are classified into two clusters on the basis of their outcomes mimicking the hypothesis testing framework. Subsequently, information sharing takes place within subgroups in the same cluster, rather than across all subgroups. This method can be applied to the design and analysis of multi-group clinical trials with binary outcomes.

Getting started

Package details

AuthorNan Chen and J. Jack Lee
MaintainerNan Chen <[email protected]>
LicenseGNU General Public License (>= 3)
Version0.9.8
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bacistool")

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bacistool documentation built on Aug. 25, 2018, 1:03 a.m.