Applied analysis of recurrent events: a practical overview
Applied analysis of recurrent events: a practical overview
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DOI：
10.1136/jech.2004.030759
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发表时间：
2005-08-01
影响因子：
6.3
通讯作者：
de Vente, W
中科院分区：
文献类型：
--
作者：
Twisk, JWR;Smidt, N;de Vente, W
研究目的：本文的目的是给一个概述和比较不同的易于应用的统计技术来分析复发事件data.Setting：这些技术包括天真的技术和纵向技术，如考克斯回归复发事件，广义估计方程（GEE），随机系数分析。不同的技术说明了一个数据集从一个随机对照试验的治疗外上髁literates.Main结果：使用不同的统计技术导致不同的结果和不同的结论，不同的干预strategies.Conclusions的有效性：如果你有兴趣在一个特定的短期或长期的结果，简单的天真的技术是适当的。然而，如果对特定结果的发展感兴趣，则需要考虑经常性事件并另外校正观察结果的依赖性的统计技术。
Study objective: The purpose of this paper is to give an overview and comparison of different easily applicable statistical techniques to analyse recurrent event data.Setting: These techniques include naive techniques and longitudinal techniques such as Cox regression for recurrent events, generalised estimating equations (GEE), and random coefficient analysis. The different techniques are illustrated with a dataset from a randomised controlled trial regarding the treatment of lateral epicondylitis.Main results: The use of different statistical techniques leads to different results and different conclusions regarding the effectiveness of the different intervention strategies.Conclusions: If you are interested in a particular short term or long term result, simple naive techniques are appropriate. However, if the development of a particular outcome is of interest, statistical techniques that consider the recurrent events and additionally corrects for the dependency of the observations are necessary.