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Proportional hazards mixed models
Advances in Methodology and Statistics, 2004We describe our recent work on mixed effects models for right-censored data. Vaida and Xu (2000) provided a general framework for handling random effects in proportional hazards (PH) regression, in a way similar to the linear, non-linear and generalized linear mixed effects models that allow random effects of arbitrary covariates.
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An Extension of the Proportional-Hazards Model for Grouped Data
Biometrics, 1983A family of transformations for probabilities is considered for the analysis of grouped survival data. Additive and multiplicative models for the hazard function are compared. A method is suggested for estimating the scale on which an additive representation of the hazard, in terms of explanatory variables, is appropriate.
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A hybrid repair-replacement policy in the proportional hazards model
European Journal of Operational Research, 2023Rui Zheng, Yingzhi Zhang
exaly
A recursive method for the health assessment of systems using the proportional hazards model
Reliability Engineering and System Safety, 2022Rui Zheng, Yingzhi Zhang
exaly
Sample-Size Calculations for the Cox Proportional Hazards Regression Model with Nonbinary Covariates
Contemporary Clinical Trials, 2000Philip W Lavori, F Y Hsieh
exaly