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.
| Version: |
0.2 |
| Depends: |
R (≥ 4.0.0), blockrand, dplyr, survival, simsurv |
| Published: |
2021-02-26 |
| Author: |
Bo Zhang [cre, aut],
Yi Zhong [aut, ctb],
Ginny Peng [aut, ctb],
Bin Yao [aut, ctb] |
| Maintainer: |
Bo Zhang <bzhang at pumabiotechnology.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
TwoArmSurvSim results |
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