Lifetime Data Anal - Missing genetic information in case-control family data with general semi-parametric shared frailty model.

Tópicos

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Resumo

Case-control family data are now widely used to examine the role of gene-environment interactions in the etiology of complex diseases. In these types of studies, exposure levels are obtained retrospectively and, frequently, information on most risk factors of interest is available on the probands but not on their relatives. In this work we consider correlated failure time data arising from population-based case-control family studies with missing genotypes of relatives. We present a new method for estimating the age-dependent marginalized hazard function. The proposed technique has two major advantages: (1) it is based on the pseudo full likelihood function rather than a pseudo composite likelihood function, which usually suffers from substantial efficiency loss; (2) the cumulative baseline hazard function is estimated using a two-stage estimator instead of an iterative process. We assess the performance of the proposed methodology with simulation studies, and illustrate its utility on a real data example.

Resumo Limpo

casecontrol famili data now wide use examin role geneenviron interact etiolog complex diseas type studi exposur level obtain retrospect frequent inform risk factor interest avail proband relat work consid correl failur time data aris populationbas casecontrol famili studi miss genotyp relat present new method estim agedepend margin hazard function propos techniqu two major advantag base pseudo full likelihood function rather pseudo composit likelihood function usual suffer substanti effici loss cumul baselin hazard function estim use twostag estim instead iter process assess perform propos methodolog simul studi illustr util real data exampl

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