使用simsurv R包模拟生存数据

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2021-01-14 DOI:10.18637/JSS.V097.I03

S. Brilleman, R. Wolfe, M. Moreno-Betancur, M. Crowther

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引用次数: 29

摘要

simsurv R包允许用户从标准参数分布(指数分布、Weibull分布和Gompertz分布)、双组分混合分布或用户定义的风险函数中模拟生存(即事件发生时间)数据。基线协变量可以包含在比例风险假设下。群集事件时间，例如家庭中的个体，也很容易适应。时间相关效应(即非比例风险)可以通过与线性时间或用户定义的时间函数相互作用的协变量来包含。在用户定义的危险函数下，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)基线危险、具有时变协变量的模型或联合纵向生存模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Simulating Survival Data Using the simsurv R Package

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., nonproportional 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.

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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.