TwoArmSurvSim: Simulate Survival Data for Randomized Clinical Trials

A system to simulate clinical trials with time to event endpoints. Event simulation is based on Cox models allowing for covariates in addition to the treatment or group factor. Specific drop-out rates (separate from administrative censoring) can be controlled in the simulation. Other features include stratified randomization, non-proportional hazards, different accrual patterns, and event projection (timing to reach the target event) based on interim data.

Getting started

Package details

AuthorBo Zhang [cre, aut], Yi Zhong [aut, ctb], Ginny Peng [aut, ctb], Bin Yao [aut, ctb]
MaintainerBo Zhang <bzhang@pumabiotechnology.com>
LicenseGPL (>= 2)
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TwoArmSurvSim")

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TwoArmSurvSim documentation built on Feb. 26, 2021, 9:06 a.m.