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Proportional hazards models with continuous marks
The Annals of Statistics, 2009 For time-to-event data with finitely many competing risks, the proportional hazards model has been a popular tool for relating the cause-specific outcomes to covariates [Prentice et al. Biometrics 34 (1978) 541--554]. This article studies an extension of this approach to allow a continuum of competing risks, in which the cause of failure is replaced by
Sun, Yanqing +2 more
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Nonparametric Regression in Proportional Hazards Models
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004 Summary: \textit{J. Fan} et al. [Ann. Stat. 25, No. 4, 1661--1690 (1997; Zbl 0890.62023)] considered two kinds of nonparametric estimators of the effects of the covariates in proportional hazards models. One of them has no parametric assumption on the baseline hazard function and is based on the integration of the estimated first order derivative of ...
Toshio Honda
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Pain and mortality among older adults in Korea [PDF]
Epidemiology and Health, 2021 OBJECTIVES With the increasing elderly population with chronic disease, understanding pain and designing appropriate policy interventions to it have become crucial.
Chiil Song, Wankyo Chung
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Robust inference for univariate proportional hazards frailty regression models [PDF]
, 2004 We consider a class of semiparametric regression models which are one-parameter extensions of the Cox [J. Roy. Statist. Soc. Ser. B 34 (1972) 187-220] model for right-censored univariate failure times.
Michael R. Kosorok +2 more
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Mitigating Disparities in Prostate Cancer Survival Prediction Through Fairness‐Aware Machine Learning Models [PDF]
Cancer MedicinePurpose Prediction models can contribute to disparities in care by performing unequally across demographic groups. While fairness‐aware methods have been explored for binary outcomes, applications to survival analysis remain limited.
Hyungrok Do +3 more
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Sparse estimation of Cox proportional hazards models via approximated information criteria. [PDF]
Biometrics, 2016 We propose a new sparse estimation method for Cox (1972) proportional hazards models by optimizing an approximated information criterion. The main idea involves approximation of the inline image norm with a continuous or smooth unit dent function.
Su X, Wijayasinghe CS, Fan J, Zhang Y.
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Two-Level Proportional Hazards Models [PDF]
Biometrics, 2002 We extend the proportional hazards model to a two-level model with a random intercept term and random coefficients. The parameters in the multilevel model are estimated by a combination of EM and Newton-Raphson algorithms. Even for samples of 50 groups, this method produces estimators of the fixed effects coefficients that are approximately unbiased ...
Maples, Jerry J. +2 more
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Frontiers in Pharmacology, 2022 Objective: Intraplaque neovascularization is a marker of plaque vulnerability and is used to predict the risk of future vascular events in patients with symptomatic carotid stenosis; however, its association with asymptomatic carotid stenosis has not ...
Liuping Cui +10 more
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Identification of a competing risks model with unknown transformations of latent failure times [PDF]
, 2005 This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Berwanger, Dietmar +4 more
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Does Atrial Fibrillation Increase the Risk of New Onset Myocardial Infarction? [PDF]
Zhongguo quanke yixue, 2022 Background Atrial fibrillation is the most obvious arrhythmia in medical practice. Atrial fibrillation has been listed as one of the eight fastest-growing causes of death since 1990.
Yujing HAO, Jie YU, Quanle HAN, Ruiying MAO, Jing YU, Lihua SONG, Shouling WU
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