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Reduced-rank hazard regression for modelling non-proportional hazards
Statistics in Medicine, 2006The Cox proportional hazards model is the most common method to analyse survival data. However, the proportional hazards assumption might not hold. The natural extension of the Cox model is to introduce time-varying effects of the covariates. For some covariates such as (surgical)treatment non-proportionality could be expected beforehand.
Perperoglou, Aris +2 more
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Regression Dilution in the Proportional Hazards Model
Biometrics, 1993The problem of regression dilution arising from covariate measurement error is investigated for survival data using the proportional hazards model. The naive approach to parameter estimation is considered whereby observed covariate values are used, inappropriately, in the usual analysis instead of the underlying covariate values. A relationship between
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Survival Analysis Cox’s Proportional Hazards Model)
2001Abstract The San Francisco Men’s Health Study is based on a sample of 1034 single men ages 24 to 54 years. These men were recruited using a multistage prob ability sample and were followed from July 1984 to December 1987. Mem bers of the cohort were interviewed and examined every six months.
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