Results 221 to 230 of about 537,274 (264)

Normal Approximation Diagnostics for the Cox Model

Biometrics, 1999
Summary.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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A Nonrecursive Estimator for the Cox Model

Biometrical Journal, 1992
AbstractThe 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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Estimability in Cox models

Statistical Papers, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Korakot Wichitsa-nguan, Henning Läuter, Hannelore Liero   +2 more
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Comparing nonnested Cox models

Biometrika, 2002
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Modeling Survival Data: Extending the Cox Model

Technometrics, 2002
(2002). Modeling Survival Data: Extending the Cox Model. Technometrics: Vol. 44, No. 1, pp. 85-86.
Haiqun Lin, Daniel Zelterman
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Subgroup analysis in the heterogeneous Cox model

Statistics in Medicine, 2020
In the analysis of censored survival data, to avoid a biased inference of treatment effects on the hazard function of the survival time, it is important to consider the treatment heterogeneity. Without requiring any prior knowledge about the subgroup structure, we propose a data driven subgroup analysis procedure for the heterogeneous Cox model by ...
Xiangbin Hu, Jian Huang, Li Liu, Defeng Sun, Xingqiu Zhao   +4 more
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Extending the Cox Model

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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Robust functional Cox regression model

Lifetime Data Analysis
Survival 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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REVIEW OF THE COX HEMATOTOXICITY MODEL

Journal of Toxicology and Environmental Health, Part A, 2000
M L, Heaney, S D, Nimer
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REVIEW OF THE COX MODEL

Journal of Toxicology and Environmental Health, Part A, 2000
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