Simulating Survival Data Using the simsurv R Package
Simulating Survival Data Using the simsurv R Package
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DOI：
10.18637/jss.v097.i03
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发表时间：
2021-01-01
影响因子：
5.8
通讯作者：
Crowther, Michael J.
中科院分区：
文献类型：
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作者：
Brilleman, Samuel L.;Wolfe, Rory;Crowther, Michael J.
SIMURV R包允许用户模拟来自标准参数分布(指数、威布尔和Gompertz)、双组分混合分布或用户定义的风险函数的生存(即事件发生时间)数据。基线协变量可以包括在比例风险假设下。聚集的事件时间，例如家庭中的个人，也很容易容纳。通过将协变量与线性时间或用户定义的时间函数相互作用，可以包括时间依赖效应(即非比例风险)。在用户定义的风险函数下，可以为各种复杂模型生成事件时间，例如灵活的(基于样条的)基线风险、具有时变协变量的模型或联合纵向生存模型。
The simsurv R package allows users to simulate survival (i.e., time-to-event) data from standard parametric distributions (exponential, Weibull, and Gompertz), two-component mixture distributions, or a user-defined hazard function. Baseline covariates can be included under a proportional hazards assumption. Clustered event times, for example individuals within a family, are also easily accommodated. Time-dependent effects (i.e., non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Under a user-defined hazard function, event times can be generated for a variety of complex models such as flexible (spline-based) baseline hazards, models with time-varying covariates, or joint longitudinal-survival models.