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Proportional hazards models: a latent competing risk approach

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We propose a novel semiparametric version of the widely used proportional hazards survival model. Features include an arbitrarily rich class of continuous base-line hazards, an attractive epidemiological interpretation of the hazard as a latent competing risk model and trivial handling of censoring. Models are fitted by using a data augmentation scheme. The methodology is applied to a data set recording times to first hospitalization following clinical diagnosis of acquired immune deficiency syndrome for a sample of 169 patients.

Keywords: Censoring; Competing risk; Data augmentation; Semiparametric regression

Document Type: Original Article


Affiliations: 1: University of Connecticut, Storrs, USA, 2: North Carolina State University, Raleigh, USA, 3: Harvard Medical School and Harvard Pilgrim Health Care, Boston, USA

Publication date: 2000-01-01

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