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bacistool (version 1.0.0)

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

Description

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. Reference: Nan Chen and J. Jack Lee (2019) .

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Version

Install

install.packages('bacistool')

Monthly Downloads

405

Version

1.0.0

License

GNU General Public License (>= 3)

Maintainer

J. Lee

Last Published

June 5th, 2020

Functions in bacistool (1.0.0)

bacisPlotClassification

Plot the posterior density of \(\theta\) in the classification model.
bacisCheckDIC

Compute the DIC value for the classification model.
bacisClassification

Conduct classification for subgroups.
bacisThetaPosterior

Compute the posterior distribution of \(\theta\) in the classification model.
bacisSubgroupPosterior

Compute the posterior distribution of response rates of subgroups using the BaCIS method.
bacisOneTrial

Running one trial computation based on the BaCIS model.