Multiple imputation for estimating hazard ratios and predictive abilities in case-cohort surveys.

Abstract : ABSTRACT: BACKGROUND: The weighted estimators generally used for analyzing case-cohort studies are not fully efficient and naive estimates of the predictive ability of a model from case-cohort data depend on the subcohort size. However, case-cohort studies represent a special type of incomplete data, and methods for analyzing incomplete data should be appropriate, in particular multiple imputation (MI). METHODS: We performed simulations to validate the MI approach for estimating hazard ratios and the predictive ability of a model or of an additional variable in case-cohort surveys. As an illustration, we analyzed a case-cohort survey from the Three-City study to estimate the predictive ability of D-dimer plasma concentration on coronary heart disease (CHD) and on vascular dementia (VaD) risks. RESULTS: When the imputation model of the phase-2 variable was correctly specified, MI estimates of hazard ratios and predictive abilities were similar to those obtained with full data. When the imputation model was misspecified, MI could provide biased estimates of hazard ratios and predictive abilities. In the Three-City case-cohort study, elevated D-dimer levels increased the risk of VaD (hazard ratio for two consecutive tertiles = 1.69, 95%CI: 1.63-1.74). However, D-dimer levels did not improve the predictive ability of the model. CONCLUSIONS: MI is a simple approach for analyzing case-cohort data and provides an easy evaluation of the predictive ability of a model or of an additional variable.
Type de document :
Article dans une revue
BMC Medical Research Methodology, BioMed Central, 2012, 12 (1), pp.24. 〈10.1186/1471-2288-12-24〉
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

http://www.hal.inserm.fr/inserm-00710028
Contributeur : Ed. Bmc <>
Soumis le : mardi 19 juin 2012 - 21:17:39
Dernière modification le : jeudi 5 avril 2018 - 10:58:03
Document(s) archivé(s) le : jeudi 20 septembre 2012 - 02:45:47

Fichiers

Identifiants

Collections

Citation

Helena Marti, Laure Carcaillon, Michel Chavance. Multiple imputation for estimating hazard ratios and predictive abilities in case-cohort surveys.. BMC Medical Research Methodology, BioMed Central, 2012, 12 (1), pp.24. 〈10.1186/1471-2288-12-24〉. 〈inserm-00710028〉

Partager

Métriques

Consultations de la notice

134

Téléchargements de fichiers

146