BACCT: Bayesian Augmented Control for Clinical Trials

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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.

Author
Hongtao Zhang [aut, cre], Qi Tang [aut]
Date of publication
2016-06-25 19:07:22
Maintainer
Hongtao Zhang <hongtao.zhang@abbvie.com>
License
GPL (>= 3)
Version
1.0

View on CRAN

Man pages

BAC_binom
Bayesian Augmented Control for Binary Responses
BACCT-package
Bayesian Augmented Control for Clinical Trials
decision_eval
Evaluating a Decision Rule
heatmap_decision
Heatmap for Decision Rules
plot.BACdecision
Generateing Plot(s) Used for Decision Rule Evaluation
summary.BAC
Summarizing BAC

Files in this package

BACCT
BACCT/NAMESPACE
BACCT/R
BACCT/R/plot.BACdecision.R
BACCT/R/BACCT.R
BACCT/R/sysdata.rda
BACCT/R/decision_eval.R
BACCT/R/BAC_binom.R
BACCT/R/summary.BAC.R
BACCT/R/heatmap_decision.R
BACCT/MD5
BACCT/DESCRIPTION
BACCT/man
BACCT/man/decision_eval.Rd
BACCT/man/BACCT-package.Rd
BACCT/man/summary.BAC.Rd
BACCT/man/BAC_binom.Rd
BACCT/man/plot.BACdecision.Rd
BACCT/man/heatmap_decision.Rd