Estimation/Imputation strategies for missing data in survival analysis - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2014

Estimation/Imputation strategies for missing data in survival analysis

Résumé

We consider the problem of estimation from right-censored data, when the censoring indicator is possibly missing. We compare different estimatio/imputation strategies for recovering nuisance functional parameters. More precisely, we propose either a parametric strategy following a logistic model standard or a pure nonparametric regression strategy. We provide theoretical properties and numerical comparisons for these procedures.
Fichier principal
Vignette du fichier
MARsimplifie2.pdf (194.17 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00818859 , version 1 (29-04-2013)

Identifiants

Citer

Fabienne Comte, Agathe Guilloux, Elodie Brunel. Estimation/Imputation strategies for missing data in survival analysis. Vincent Couallier, Léo Gerville-Réache, Catherine Huber-Carol, Nikolaos Limnios andMounir Mesbah. Statistical Models and Methods for Reliability and Survival Analysis, John Wiley & Sons, Inc., Hoboken, USA, pp.229-252, 2014, 9781848216198. ⟨10.1002/9781118826805.ch15⟩. ⟨hal-00818859⟩
259 Consultations
851 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More