A comparison of machine learning models and Cox proportional hazards models regarding their ability to predict the risk of gastrointestinal cancer based on metabolic syndrome and its components. [PDF]
Front Oncol, 2023 Tran TT +6 more
europepmc +1 more source
Methods for the Analysis of Sampled Cohort Data in the Cox Proportional Hazards Model [PDF]
, 1995 Ørnulf Borgan +2 more
openalex +1 more source
Cox's proportional hazards model with a high-dimensional and sparse regression parameter [PDF]
arXiv, 2017 This paper deals with the proportional hazards model proposed by D. R. Cox in a high-dimensional and sparse setting for a regression parameter. To estimate the regression parameter, the Dantzig selector is applied. The variable selection consistency of the Dantzig selector for the model will be proved.
arxiv
Estimation in a Cox Proportional Hazards Cure Model [PDF]
, 2000 Judy P. Sy, Jeremy M. G. Taylor
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Testing and Confidence Intervals for High Dimensional Proportional Hazards Model [PDF]
arXiv, 2014 This paper proposes a decorrelation-based approach to test hypotheses and construct confidence intervals for the low dimensional component of high dimensional proportional hazards models. Motivated by the geometric projection principle, we propose new decorrelated score, Wald and partial likelihood ratio statistics.
arxiv
Risk Factors of Microvascular Complications Among Type 2 Diabetic Patients Using Cox Proportional Hazards Models: A Cohort Study in Tabuk Saudi Arabia. [PDF]
J Multidiscip Healthc, 2022 Saiyed NS +8 more
europepmc +1 more source
Functional ANOVA modeling for proportional hazards regression [PDF]
, 2000 Jianhua Z. Huang +3 more
openalex +1 more source
Non-collapsibility and Built-in Selection Bias of Hazard Ratio in Randomized Controlled Trials [PDF]
arXivBackground: The hazard ratio of the Cox proportional hazards model is widely used in randomized controlled trials to assess treatment effects. However, two properties of the hazard ratio including the non-collapsibility and built-in selection bias need to be further investigated.
arxiv
Nonlinear Semi-Parametric Models for Survival Analysis [PDF]
arXiv, 2019 Semi-parametric survival analysis methods like the Cox Proportional Hazards (CPH) regression (Cox, 1972) are a popular approach for survival analysis. These methods involve fitting of the log-proportional hazard as a function of the covariates and are convenient as they do not require estimation of the baseline hazard rate.
arxiv
Proportional Hazards Models: A Latent Competing Risk Approach [PDF]
, 2000 Alan E. Gelfand +4 more
openalex +1 more source