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Proportional hazards models: a latent competing risk approach
Author(s) -
Gelfand Alan E.,
Ghosh Sujit K.,
Christiansen Cindy,
Soumerai Stephen B.,
McLaughlin Thomas J.
Publication year - 2000
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/1467-9876.00199
Subject(s) - censoring (clinical trials) , proportional hazards model , hazard , data set , statistics , latent class model , computer science , survival analysis , econometrics , mathematics , organic chemistry , chemistry
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.
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