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.
- Version0.4.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/18/2024
Documentation
- VignetteApproximating an arbitrary hazard function
- VignetteComputing p-values for Fleming-Harrington weighted logrank tests and the MaxCombo test
- VignetteUsing the Magirr-Burman weights for testing
- VignetteSimulating time-to-event trials in parallel
- VignetteRestricted mean survival time (RMST)
- VignetteBasic tools for time-to-event trial simulation and testing
- VignetteTTE simulation data manipulations
- MaterialREADME
- MaterialNEWS
Team
Yujie Zhao
MaintainerShow author detailsYalin Zhu
Heng Zhou
Show author detailsRolesContributorNan Xiao
John Blischak
Show author detailsRolesContributorKeaven Anderson
Show author detailsRolesAuthorYilong Zhang
Show author detailsRolesAuthorXintong Li
Jianxiao Yang
Show author detailsRolesContributorMerck & Co., Inc., Rahway, NJ, USA and its affiliates
Show author detailsRolesCopyright holderAmin Shirazi
Show author detailsRolesContributorRuixue Wang
Show author detailsRolesContributorYi Cui
Show author detailsRolesContributorPing Yang
Show author detailsRolesContributorLili Ling
Show author detailsRolesContributorCole Manschot
Show author detailsRolesContributor
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Dependencies
- Imports8 packages
- Suggests12 packages
- Linking To1 package
- Reverse Suggests1 package