Titre :
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Applied analysis of recurrent events : a practical overview. (2005)
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Auteurs :
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Jos-Wr TWISK ;
Wieke DE VENTE ;
Nynke SMIDT
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Type de document :
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Article
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Dans :
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Journal of epidemiology and community health (vol. 59, n° 8, 2005)
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Pagination :
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706-710
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Langues:
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Anglais
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Mots-clés :
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Récidive
;
Analyse donnée
;
Estimation
;
Méthodologie
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Résumé :
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[BDSP. Notice produite par INIST-CNRS bR0x4tgS. Diffusion soumise à autorisation]. 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.
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