title: [Dealing with competing events in survival analysis].
abstract: Survival analyses focus on the occurrences of an event of interest, in order to determine risk factors and estimate a risk. Competing events prevent from observing the event of interest. If there are competing events, it can lead to a bias in the risk's estimation. The aim of this article is to explain why Cox model is not appropriate when there are competing events, and to present Fine and Gray model, which can help when dealing with competing risks.
authors.affiliation: Service de néphrologie, CHU Clémenceau, avenue G.-Clémenceau, 14033 Caen cedex, France.
authors.forename: Clémence
authors.initials: C
authors.lastname: Béchade
authors.affiliation: Service de néphrologie, CHU Clémenceau, avenue G.-Clémenceau, 14033 Caen cedex, France. Electronic address: lobbedez-t@chu-caen.fr.
authors.forename: Thierry
authors.initials: T
authors.lastname: Lobbedez
mesh_terms: D006801:Humans; D015233:Models, Statistical; D018570:Risk Assessment; D016019:Survival Analysis
keywords: Analyse de survie; Competing risk; Fine and Gray model; Modèle de Fine et Gray; Risques compétitifs; Survival analysis; Événements concurrents