Tutorial in biostatistics: Competing risks and multi-state models
Tutorial in biostatistics: Competing risks and multi-state models
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DOI：
10.1002/sim.2712
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发表时间：
2007-05-20
影响因子：
2
通讯作者：
Geskus, R. B.
中科院分区：
文献类型：
--
作者：
Putter, H.;Fiocco, M.;Geskus, R. B.
标准生存数据测量从某个时间起点到某一类型事件发生的时间跨度。如果发生多种类型的事件，则需要一个描述每种竞争风险进展的模型。多状态模型通过描述过渡到中间事件来概括竞争风险模型。在过去的二十年中，已经开发了分析这种模型的方法。幸运的是，大多数分析都可以在标准统计软件包中进行，但可能需要在数据准备和编程方面付出一些额外的努力。本教程旨在回顾用于分析竞争风险和多状态模型的统计方法。虽然涵盖了一些概念性问题，但重点是实际问题，如数据准备，估计协变量的影响，估计累积发病率函数和状态和转移概率。使用标准软件的分析的例子。版权所有（C）2006约翰威利父子有限公司
Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi-state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown. Copyright (C) 2006 John Wiley & Sons, Ltd.