Predicting and Simulating Clinical Trial with Time-to-Event Endpoint

Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.


ClinTrialPredict

You can install the development version of ClinTrialPredict from GitHub with:

devtools::install_github('tomdingbiostat/clintrialpredict',build_vignettes = TRUE)

Reference manual

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install.packages("ClinTrialPredict")

0.0.4 by Yang Ding, 2 years ago


Browse source code at https://github.com/cran/ClinTrialPredict


Authors: Yang Ding [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Suggests knitr, rmarkdown, testthat, R.rsp


See at CRAN