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

