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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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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coxphMIC: An R Package for Sparse Estimation of Cox Proportional Hazards Models via Approximated Information Criteria [PDF]
The R Journal, 2017 In this paper, we describe an R package named coxphMIC, which implements the sparse estimation method for Cox proportional hazards models via approximated information criterion (Su et al., 2016 Biometrics).
Razieh Nabi, Xiaogang Su
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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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Informatics in Medicine Unlocked, 2023 Background: Diabetic retinopathy (DR) is one of the most common complications in type 2 diabetes (T2D) with an estimated prevalence of 22%. Predictive modelling has largely been dependent on Cox proportional hazards (CPH) with assumptions of linearity ...
Panu Looareesuwan +10 more
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Proportional hazards models with discrete frailty [PDF]
Lifetime Data Analysis, 2010 We extend proportional hazards frailty models for lifetime data to allow a negative binomial, Poisson, Geometric or other discrete distribution of the frailty variable. This might represent, for example, the unknown number of flaws in an item under test.
Caroni, Chrys +2 more
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A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model [PDF]
Scientific Reports, 2022 There have been few investigations of cancer prognosis models based on Bayesian hierarchical models. In this study, we used a novel Bayesian method to screen mRNAs and estimate the effects of mRNAs on the prognosis of patients with lung adenocarcinoma ...
Na Sun +5 more
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Explained randomness in proportional hazards models [PDF]
Statistics in Medicine, 2005 A coefficient of explained randomness, analogous to explained variation but for non-linear models, was presented by Kent. The construct hinges upon the notion of Kullback-Leibler information gain. Kent and O'Quigley developed these ideas, obtaining simple, multiple and partial coefficients for the situation of proportional hazards regression.
John, O'Quigley +2 more
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