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BACCT (version 1.0)

Bayesian Augmented Control for Clinical Trials

Description

Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical data borrowing) method under clinical trial setting by calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates user-specified decision rules by computing the type-I error/power, or probability of correct go/no-go decision at interim look. The evaluation can be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due to a compatibility issue with 'rjags' package. Currently, the package implements the BAC method for binary outcome only. Support for continuous and survival endpoints will be added in future releases. We would like to thank AbbVie's Statistical Innovation group and Clinical Statistics group for their support in developing the 'BACCT' package.

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Version

Install

install.packages('BACCT')

Monthly Downloads

441

Version

1.0

License

GPL (>= 3)

Maintainer

Hongtao Zhang

Last Published

June 25th, 2016

Functions in BACCT (1.0)

summary.BAC

Summarizing BAC
heatmap_decision

Heatmap for Decision Rules
BACCT-package

Bayesian Augmented Control for Clinical Trials
decision_eval

Evaluating a Decision Rule
BAC_binom

Bayesian Augmented Control for Binary Responses
plot.BACdecision

Generateing Plot(s) Used for Decision Rule Evaluation