title: [Robust analysis methods for multivariate survival times].
abstract: In a long term clinical study, the subjects may experience repeated occurrences of the same type of events or multiple events of entirely different nature during the following period. In this article, we reviewed the three most frequently used extensions to the proportional hazards model for analysing such multivariate failure time data. Specifically, we explored the underlying hypotheses for each of these extensions. The three procedures were applied to a bladder cancer study.
authors.affiliation: INSERM Service Commun 4, Faculté de médecine Saint-Antoine, Paris.
authors.forename: R
authors.initials: R
authors.lastname: Lancar
mesh_terms: D002986:Clinical Trials as Topic; D003627:Data Interpretation, Statistical; D006801:Humans; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D016019:Survival Analysis; D001749:Urinary Bladder Neoplasms / Q000401:mortality / Q000628:therapy
vernacular_title: Méthodes robustes d'analyse de temps de survie multivariés.