[Case-cohort surveys].
In this paper, we present the main tools for conception, implementation and analysis of case-cohort surveys. In particular, we describe the classical weighted estimators, the weighted approach recently suggested by Breslow et al. and the multiple imputation approach, an alternative to weighted analysis of case-cohort data. Variance estimators are also described. We show how to obtain the subcohort size. Finally, we mention the functions and procedures available in R, SAS and Stata software and we illustrate their implementation using simulated subcohorts from the PRIME cohort.
Inserm, U1018, équipe biostatistique, centre de recherche en épidémiologie et santé des populations, 16, avenue Paul-Vaillant-Couturier, 94807 Villejuif, France. helena.marti-soler@inserm.fr
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D015415:Biomarkers / Q000097:blood; D016022:Case-Control Studies; D015331:Cohort Studies; D003198:Computer Simulation / Q000706:statistics & numerical data; D004812:Epidemiologic Methods; D005340:Fibrinogen / Q000378:metabolism; D005602:France / Q000453:epidemiology; D006801:Humans; D008432:Mathematical Computing; D009203:Myocardial Infarction / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D012306:Risk; D012680:Sensitivity and Specificity
D015415:Biomarkers; D005340:Fibrinogen