Applied analysis of recurrent events: a practical overview
Open Access
- 1 August 2005
- journal article
- theory and-methods
- Published by BMJ in Journal of Epidemiology and Community Health
- Vol. 59 (8), 706-710
- https://doi.org/10.1136/jech.2004.030759
Abstract
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.Keywords
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