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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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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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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The Bernstein--von Mises theorem for the proportional hazard model [PDF]
Annals of Statistics 2006, Vol. 34, No. 4, 1678-1700, 2006 We study large sample properties of Bayesian analysis of the proportional hazard model with neutral to the right process priors on the baseline hazard function. We show that the posterior distribution of the baseline cumulative hazard function and regression coefficients centered at the maximum likelihood estimator is jointly asymptotically equivalent ...
Yongdai Kim
arxiv +2 more sources
Generating survival times to simulate Cox proportional hazards models with time-varying covariates. [PDF]
Stat Med, 2012 Simulations and Monte Carlo methods serve an important role in modern statistical research. They allow for an examination of the performance of statistical procedures in settings in which analytic and mathematical derivations may not be feasible.
Austin PC.
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Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data [PDF]
Bioinform., 2005 MOTIVATION An important area of research in the postgenomics era is to relate high-dimensional genetic or genomic data to various clinical phenotypes of patients.
Hui Li, Y. Luan
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Generating survival times to simulate Cox proportional hazards models
Statistics in Medicine, 2005 Ralf Bender, Joshua B Cadwell
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Proportional hazards models and age-period-cohort analysis of cancer rates. [PDF]
Stat Med, 2010 Rosenberg PS, Anderson WF.
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