Reduced rank proportional hazards model for competing risks
نویسندگان
چکیده
منابع مشابه
Time-dependent covariates in the proportional subdistribution hazards model for competing risks.
Separate Cox analyses of all cause-specific hazards are the standard technique of choice to study the effect of a covariate in competing risks, but a synopsis of these results in terms of cumulative event probabilities is challenging. This difficulty has led to the development of the proportional subdistribution hazards model. If the covariate is known at baseline, the model allows for a summar...
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What population does the sample represent? The answer to this question is of crucial importance when estimating a survivor function in duration studies. As is well-known, in a stationary population, survival data obtained from a cross-sectional sample taken from the population at time t(0) represents not the target density f (t) but its length-biased version proportional to t f (t), for t > 0. ...
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We propose a novel semiparametric version of the widely used proportional hazards survival model. Features include an arbitarily rich class of continuous baseline hazards, an attractive epidemiological interpretation of the hazard as a latent competing risk model and trivial handling of censoring. Models are tted using a data augmentation scheme. The methodology is applied to a data set recordi...
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The problem concerning elimination of causes and its impact has been a longstanding problem in the field of survival analysis. In this paper, a covariate dependent model based on proportional hazards has been proposed. In addition, a test procedure is suggested for testing the independence of competing risks based on Islam [1, 2]. The estimation and test procedures are applied to analyze the co...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2005
ISSN: 1468-4357,1465-4644
DOI: 10.1093/biostatistics/kxi022