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Applying Cox Regression to Competing Risks
Biometrics, 1995Two methods are given for the joint estimation of parameters in models for competing risks in survival analysis. In both cases Cox's proportional hazards regression model is fitted using a data duplication method. In principle either method can be used for any number of different failure types, assuming independent risks.
M, Lunn, D, McNeil
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On the interpretation of the hazard ratio in Cox regression
Biometrical Journal, 2019AbstractWe argue that the term “relative risk” should not be used as a synonym for “hazard ratio” and encourage to use the probabilistic index as an alternative effect measure for Cox regression. The probabilistic index is the probability that the event time of an exposed or treated subject exceeds the event time of an unexposed or untreated subject ...
Jan De Neve, Thomas A. Gerds
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Predictive Accuracy and Explained Variation in Cox Regression
Biometrics, 2000Summary.We suggest a new measure of the proportion of the variation of possibly censored survival times explained by a given proportional hazards model. The proposed measure, termedV, shares several favorable properties with an earlierV1but also improves the handling of censoring.
Schemper, M., Henderson, Robin
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Cox Regression Analysis in Clinical Research
Archives of Ophthalmology, 1990The Cox survivorship model1has been used widely in medical research and recently in the ophthalmic literature to analyze prognosis following alternative treatments of uveal melanoma.2-5The purpose of this short communication is to explain what Cox regression analysis is, so that investigators will understand its role in clinical research.
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Robust functional Cox regression model
Lifetime Data AnalysisSurvival analysis with functional covariates has emerged as an important extension of the classical Cox proportional hazards model, allowing one to assess how entire trajectories or curves influence time-to-event outcomes. However, existing functional Cox models are typically fitted using non-robust techniques and can be highly sensitive to outliers or
Gizel Bakicierler Sezer, Ufuk Beyaztas
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A Diagnostic for Cox Regression and General Conditional Likelihoods
Journal of the American Statistical Association, 1985Barry E Storer
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On the interpretation of the hazard ratio in Cox regression
Biometrical Journal, 2020Thomas A Gerds, Jan De Neve
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