Simulating biologically plausible complex survival data
Simulating biologically plausible complex survival data
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DOI：
10.1002/sim.5823
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发表时间：
2013-10-15
影响因子：
2
通讯作者：
Lambert, Paul C.
中科院分区：
文献类型：
--
作者：
Crowther, Michael J.;Lambert, Paul C.
进行模拟研究是为了评估当前和新颖的统计模型在预定义场景中的性能。通常希望所选择的模拟场景能够准确地反映生物学上合理的潜在分布。这在生存分析框架中尤其重要，其中为事件时间和审查时间选择模拟分布。本文开发了在生成生存时间时使用复杂分布来评估实践方法的方法。我们描述了一种涉及数值积分和求根技术的通用算法，用于从各种复杂的参数分布生成生存时间，结合时间相关效应、时变协变量、延迟进入、随机效应和误差测量的协变量的任意组合。提供用户友好的Stata软件。版权所有 (c) 2013 John Wiley & Sons, Ltd.
Simulation studies are conducted to assess the performance of current and novel statistical models in pre-defined scenarios. It is often desirable that chosen simulation scenarios accurately reflect a biologically plausible underlying distribution. This is particularly important in the framework of survival analysis, where simulated distributions are chosen for both the event time and the censoring time. This paper develops methods for using complex distributions when generating survival times to assess methods in practice. We describe a general algorithm involving numerical integration and root-finding techniques to generate survival times from a variety of complex parametric distributions, incorporating any combination of time-dependent effects, time-varying covariates, delayed entry, random effects and covariates measured with error. User-friendly Stata software is provided. Copyright (c) 2013 John Wiley & Sons, Ltd.