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TwoArmSurvSim  

Simulate Survival Data for Randomized Clinical Trials
View on CRAN: Click here


Download and install TwoArmSurvSim package within the R console
Install from CRAN:
install.packages("TwoArmSurvSim")

Install from Github:
library("remotes")
install_github("cran/TwoArmSurvSim")

Install by package version:
library("remotes")
install_version("TwoArmSurvSim", "0.2")



Attach the package and use:
library("TwoArmSurvSim")
Maintained by
Bo Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-16
Latest Update: 2021-02-26
Description:
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.
How to cite:
Bo Zhang (2020). TwoArmSurvSim: Simulate Survival Data for Randomized Clinical Trials. R package version 0.2, https://cran.r-project.org/web/packages/TwoArmSurvSim. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1 (2020-12-16 16:20), 0.2 (2021-02-26 09:50)
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Complete documentation for TwoArmSurvSim
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