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.
|Author||Jyothi Subramanian [aut, cre], Richard Simon [aut]|
|Maintainer||Jyothi Subramanian <[email protected]>|
|Package repository||View on CRAN|
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