pact: Predictive Analysis of Clinical Trials

A prediction-based approach to the analysis of data from randomized clinical trials is implemented. Based on response and covariate data from a randomized clinical trial comparing a new experimental treatment E versus a control C, the objective is to develop and internally validate a model that can identify subjects likely to benefit from E rather than C. Currently, survival and binary response types are permitted.

AuthorJyothi Subramanian [aut, cre], Richard Simon [aut]
Date of publication2016-04-15 23:39:12
MaintainerJyothi Subramanian <subramanianj01@gmail.com>
LicenseGPL-3
Version0.5.0
https://github.com/brbnci/pact

View on CRAN

Files

pact
pact/inst
pact/inst/doc
pact/inst/doc/pact_vignette.Rnw
pact/inst/doc/pact_vignette.R
pact/inst/doc/pact_vignette.pdf
pact/NAMESPACE
pact/data
pact/data/GSE10846.RData
pact/data/EORTC10994.RData
pact/data/prostateCancer.RData
pact/R
pact/R/pact.R
pact/vignettes
pact/vignettes/pact_vignette.Rnw
pact/MD5
pact/build
pact/build/vignette.rds
pact/DESCRIPTION
pact/man
pact/man/overall.analysis.Rd pact/man/GSE10846.Rd pact/man/pact.Rd pact/man/EORTC10994.Rd pact/man/KfoldCV.Rd pact/man/print.eval.cv.Rd pact/man/pact.cv.Rd pact/man/summary.pact.Rd pact/man/pact.fit.Rd pact/man/eval.pact.cv.Rd pact/man/print.pact.Rd pact/man/prostateCancer.Rd pact/man/predict.pact.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.