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.
|Depends:||R (≥ 2.10)|
|Author:||Jyothi Subramanian [aut, cre], Richard Simon [aut]|
|Maintainer:||Jyothi Subramanian <subramanianj01 at gmail.com>|
|CRAN checks:||pact results|
Predictive Analysis of Clinical Trials
|Windows binaries:||r-devel: pact_0.5.0.zip, r-release: pact_0.5.0.zip, r-oldrel: pact_0.5.0.zip|
|OS X El Capitan binaries:||r-release: pact_0.5.0.tgz|
|OS X Mavericks binaries:||r-oldrel: pact_0.5.0.tgz|
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