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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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2003
AbstractThis chapter describes the conceptual underpinnings of the Cox regression model and demonstrates how to fit it to data. Section 14.1 begins by developing the Cox model specification itself, demonstrating why it is a sensible representation. Section 14.2 describes how the model is fit.
Judith D. Singer, John B. Willett
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AbstractThis chapter describes the conceptual underpinnings of the Cox regression model and demonstrates how to fit it to data. Section 14.1 begins by developing the Cox model specification itself, demonstrating why it is a sensible representation. Section 14.2 describes how the model is fit.
Judith D. Singer, John B. Willett
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2017
Wir betrachten nun ein einfaches Finanzmarktmodell in diskreter Zeit. In diesem Modell werden wir viele wichtige Ergebnisse zur Bewertung von Derivaten herleiten, die auch in viel allgemeineren Markten gelten. Es handelt sich um das grundlegende Binomialmodell von Cox, Ross und Rubinstein. Neben dem obligatorischen risikolosen Wertpapier gibt es im Cox-
Nicole Bäuerle, Ulrich Rieder
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Wir betrachten nun ein einfaches Finanzmarktmodell in diskreter Zeit. In diesem Modell werden wir viele wichtige Ergebnisse zur Bewertung von Derivaten herleiten, die auch in viel allgemeineren Markten gelten. Es handelt sich um das grundlegende Binomialmodell von Cox, Ross und Rubinstein. Neben dem obligatorischen risikolosen Wertpapier gibt es im Cox-
Nicole Bäuerle, Ulrich Rieder
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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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Normal Approximation Diagnostics for the Cox Model
Biometrics, 1999Summary.We discuss two diagnostic methods for assessing the accuracy of the normal approximated confidence region to the likelihood‐based confidence region for the Cox proportional hazards model with censored data. The proposed diagnostic methods are extensions of the contour measures of Hodges (1987,Journal of the American Statistical Association82 ...
Chang, Chung-Chou H., Weissfeld, Lisa A.
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1997
Since its introduction, the proportional hazards model proposed by Cox has become the workhorse of regression analysis for censored data. In the last several years, the theoretical basis for the model has been solidified by connecting it to the study of counting processes and martingale theory.
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Since its introduction, the proportional hazards model proposed by Cox has become the workhorse of regression analysis for censored data. In the last several years, the theoretical basis for the model has been solidified by connecting it to the study of counting processes and martingale theory.
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Modeling Survival Data: Extending the Cox Model
, 2000T. Therneau, P. Grambsch
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A comparison of the Cox model to the Fine-Gray model for survival analyses of re-fracture rates
Archives of Osteoporosis, 2020Erin K. Nolan, Huei-Yang Chen
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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