OBJECTIVES Becoming widowed is a known risk factor for mortality. This article examines the magnitude of, explanations for, and variation in the association between widowhood and mortality. Previous research on widowhood mortality has revealed variation by socioeconomic status (SES), in that SES is not protective in widowhood, and by gender, such that men's mortality increases more than women's...

A coefficient of explained randomness, analogous to explained variation but for non-linear models, was presented by Kent. The construct hinges upon the notion of Kullback-Leibler information gain. Kent and O'Quigley developed these ideas, obtaining simple, multiple and partial coefficients for the situation of proportional hazards regression. Their approach was based upon the idea of transformi...

The authors consider the problem of Bayesian variable selection for proportional hazards regression models with right censored data. They propose a semi-parametric approach in which a nonparametric prior is specified for the baseline hazard rate and a fully parametric prior is specified for the regression coefficients. For the baseline hazard, they use a discrete gamma process prior, and for th...

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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...

survival analysis is a set of methods used for analysis of the data which exist until the occurrence of an event. this study aimed to compare the results of the use of the semi-parametric cox model with parametric models to determine the factors influencing the length of stay of patients in the inpatient units of women hospital in tehran, iran. in this historical cohort study all 3421 charts of...