Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models [PDF]
Journal of Translational Medicine, 2021 Background The successful identification of breast cancer (BRCA) prognostic biomarkers is essential for the strategic interference of BRCA patients.
Lingyu Li, Zhi-Ping Liu
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Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox’s Proportional Hazards Models [PDF]
EntropyRegularization methods such as LASSO, adaptive LASSO, Elastic-Net, and SCAD are widely employed for variable selection in statistical modeling. However, these methods primarily focus on variables with strong effects while often overlooking weaker signals,
Syed Ejaz Ahmed +2 more
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BHCox: Bayesian heredity-constrained Cox proportional hazards models for detecting gene-environment interactions [PDF]
BMC BioinformaticsBackground Gene-environment (G × E) interactions play a critical role in understanding the etiology of diseases and exploring the factors that affect disease prognosis.
Na Sun +6 more
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On hazard ratio estimators by proportional hazards models in matched-pair cohort studies [PDF]
Emerging Themes in Epidemiology, 2017 Background In matched-pair cohort studies with censored events, the hazard ratio (HR) may be of main interest. However, it is lesser known in epidemiologic literature that the partial maximum likelihood estimator of a common HR conditional on matched ...
Tomohiro Shinozaki +2 more
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Mediation Analysis with Survival Outcomes: Accelerated Failure Time Versus Proportional Hazards Models [PDF]
Frontiers in Psychology, 2016 Objective: Survival time is an important type of outcome variable in treatment research. Currently, limited guidance is available regarding performing mediation analyses with survival outcomes, which generally do not have normally distributed errors, and
Lois A Gelfand +3 more
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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
Gilbert, Peter B. +2 more
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The impact of violation of the proportional hazards assumption on the discrimination of the Cox proportional hazards model [PDF]
Diagnostic and Prognostic ResearchBackground The Cox proportional hazards regression model is frequently used to estimate an individual’s probability of experiencing an outcome within a specified prediction horizon. A key assumption of this model is that of proportional hazards.
Peter C. Austin, Daniele Giardiello
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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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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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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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