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simtrial: Clinical Trial Simulation
Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Getting started
Package overview
README.md
Approximating an arbitrary hazard function
Basic tools for time-to-event trial simulation and testing
Computing p-values for Fleming-Harrington weighted logrank tests and the MaxCombo test
Restricted mean survival time (RMST)
Simulating time-to-event trials in parallel
TTE simulation data manipulations
Using the Magirr-Burman weights for testing
Browse package contents
Package details |
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| Author | Keaven Anderson [aut], Yujie Zhao [ctb, cre], John Blischak [ctb], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Shirazi [ctb], Cole Manschot [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph] |
| Maintainer | Yujie Zhao <yujie.zhao@merck.com> |
| License | GPL-3 |
| Version | 0.4.2 |
| URL | https://merck.github.io/simtrial/ https://github.com/Merck/simtrial |
| Package repository | View on CRAN |
| Installation |
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