Variance components models for survival data |
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| Authors: | J H Petersen P K Andersen RD Gill |
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| Institution: | Department of Biostatistics, University of Copenhagen, Blegdamsvej 3, DK 2200 Copenhagen N. Denmark. and Danish Epidemiology Science Centre;Department of Mathematics, University of Utrecht PO Box 80010. NL 3508 TA Utrecht The Netherlands |
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| Abstract: | Extensions of the Cox proportional hazards model for survival data are studied where allowance is made for unobserved heterogeneity and for correlation between the life times of several individuals. The extended models are frailty models inspired by Y ashin et al. (1995). Estimation is carried out using the EM algorithm. Inference is discussed and potential applications are outlined, in particular to statistical research in human genetics using twin data or adoption data, aimed at separating the effects of genetic and environmental factors on mortality. |
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| Keywords: | censored survival data heterogeneity correlated frailty correlated life times semiparametric models EM algorithm |
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