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Scandinavian Journal of Statistics, 2000
The purpose of this paper is to consider the problem of statistical inference about a hazard rate function that is specified as the product of a parametric regression part and a non‐parametric baseline hazard. Unlike Cox's proportional hazard model, the baseline hazard not only depends on the duration variable, but also on the starting date of the ...
Pons, O., Visser, M.
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The purpose of this paper is to consider the problem of statistical inference about a hazard rate function that is specified as the product of a parametric regression part and a non‐parametric baseline hazard. Unlike Cox's proportional hazard model, the baseline hazard not only depends on the duration variable, but also on the starting date of the ...
Pons, O., Visser, M.
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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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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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2000
The Cox proportional hazards model [36] has become by a wide margin the most used procedure for modeling the relationship of covariates to a survival or other censored outcome.
Terry M. Therneau, Patricia M. Grambsch
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The Cox proportional hazards model [36] has become by a wide margin the most used procedure for modeling the relationship of covariates to a survival or other censored outcome.
Terry M. Therneau, Patricia M. Grambsch
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A Nonrecursive Estimator for the Cox Model
Biometrical Journal, 1992AbstractThe Cox regression model is one of the most widely used models to incorporate covariates. The frequently used partial likelihood estimator of the regression parameter has to be computed iteratively. In this paper we propose a noniterative estimator for the regression parameter and show that under certain conditions it dominates another ...
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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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Statistical Papers, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Korakot Wichitsa-nguan +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Korakot Wichitsa-nguan +2 more
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