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• W2029046090 endingPage "467" @default.
• W2029046090 startingPage "467" @default.
• W2029046090 abstract "Many analyses in epidemiological and prognostic studies and in studies of event history data require methods that allow for unobserved covariates or frailties. Clayton and Cuzick (1985, Journal of the Royal Statistical Society, Series A 148, 82-117) proposed a generalization of the proportional hazards model that implemented such random effects, but the proof of the asymptotic properties of the method remains elusive, and practical experience suggests that the likelihoods may be markedly nonquadratic. This paper sets out a Bayesian representation of the model in the spirit of Kalbfleisch (1978, Journal of the Royal Statistical Society, Series B 40, 214-221) and discusses inference using Monte Carlo methods." @default.
• W2029046090 created "2016-06-24" @default.
• W2029046090 creator A5044471684 @default.
• W2029046090 date "1991-06-01" @default.
• W2029046090 modified "2023-10-03" @default.
• W2029046090 title "A Monte Carlo Method for Bayesian Inference in Frailty Models" @default.
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• W2029046090 doi "https://doi.org/10.2307/2532139" @default.
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