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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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.
europepmc +3 more sources
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
doaj +2 more sources
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
doaj +1 more source
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 ...
Lee, S.
core +8 more sources
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
doaj +1 more source