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Computational Statistics & Data Analysis, 2023
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Danae Martinez-Vargas +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Danae Martinez-Vargas +1 more
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Penalized likelihood in Cox regression
Statistics in Medicine, 1994AbstractIn a Cox regression model, instability of the estimated regression coefficients can be reduced by maximizing a penalized partial log‐likelihood, where a penalty function of the regression coefficients is substracted from the partial log‐likelihood.
P J, Verweij, H C, Van Houwelingen
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An Extension of Cox's Regression Model
International Statistical Review / Revue Internationale de Statistique, 1983Summary It is shown how one can construct a model for a jump process depending on an arbitrary intensity measure with the property that if the measure is absolutely continuous it reduces to Cox's regression model for survival data. The model has the property that the maximum likelihood estimator of the parameters are Cox's estimate for the regression ...
Søren Johansen, Soren Johansen
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, 2022 Cox, in 1972, came up with the Cox Regression Model to deal handle failure time data. This work presents background information leading up to the Cox\u27s regression model for censored survival data.
Smith, Lindsay Sarah
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Proportional hazards (Cox) regression
Journal of General Internal Medicine, 1993PROPORTIONAL HAZARDS ( C o x ) REGRESSION is a powerful analytic tool for testing whe the r several factors (e.g., cigarette smoking, hyper tens ion) are independent ly related to the rate (over t ime) of a specific event (e.g., heart attack yes /no) . It can also be used to control for baseline differences be t ween groups in nonrandomized studies and
M H, Katz, W W, Hauck
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Adaptive Regression Splines in the Cox Model
Biometrics, 1999Summary.We develop a method for constructing adaptive regression spline models for the exploration of survival data. The method combines Cox's (1972,Journal of the Royal Statistical Society, Series B34, 187–200) regression model with a weighted least‐squares version of the multivariate adaptive regression spline (MARS) technique of Friedman (1991 ...
LeBlanc, Michael, Crowley, John
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Diagnostic Plots in Cox's Regression Model
Biometrics, 1991Two diagnostic plots are presented for validating the fitting of a Cox proportional hazards model. The added variable plot is developed to assess the effect of adding a covariate to the model. The constructed variable plot is applied to detect nonlinearity of a fitted covariate. Both plots are also useful for identifying influential observations on the
Chen, Chen-Hsin, Wang, P. C.
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Cox Regression with Covariate Measurement Error
Scandinavian Journal of Statistics, 2002This article deals with parameter estimation in the Cox proportional hazards model when covariates are measured with error. We consider both the classical additive measurement error model and a more general model which represents the mis‐measured version of the covariate as an arbitrary linear function of the true covariate plus random noise.
Hu, Chengcheng, Lin, D. Y.
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