Hybrid L1/2 + 2 method for gene selection in the Cox proportional hazards model
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.06.004
Abstract: BACKGROUND AND OBJECTIVE An important issue in genomic research is to identify the significant genes that related to survival from tens of thousands of genes. Although Cox proportional hazards model is a conventional survival analysis… read more here.
Keywords: gene selection; hazards model; method; cox proportional ... See more keywords
Beyond the Hazard Ratio: Generating Expected Durations from the Cox Proportional Hazards Model
Sign Up to like & getrecommendations! Published in 2017 at "British Journal of Political Science"
DOI: 10.1017/s000712341700045x
Abstract: The Cox proportional hazards model is a commonly used method for duration analysis in political science. Typical quantities of interest used to communicate results come from the hazard function (for example, hazard ratios or percentage… read more here.
Keywords: hazards model; duration; cox proportional; expected durations ... See more keywords
Reinfection hazard of hand-foot-mouth disease in Wuhan, China, using Cox-proportional hazard model
Sign Up to like & getrecommendations! Published in 2018 at "Epidemiology and Infection"
DOI: 10.1017/s0950268818001322
Abstract: Abstract Hand-foot-mouth disease (HFMD) is an acute infectious disease caused by serotypes of the enterovirus (EV) family. HFMD reinfection occurs commonly in lack of cross-protection between different EV serotypes. In this study, we investigated the… read more here.
Keywords: hazard; reinfection; cox proportional; hazard model ... See more keywords
Distributed Cox proportional hazards regression using summary-level information.
Sign Up to like & getrecommendations! Published in 2022 at "Biostatistics"
DOI: 10.1093/biostatistics/kxac006
Abstract: Individual-level data sharing across multiple sites can be infeasible due to privacy and logistical concerns. This article proposes a general distributed methodology to fit Cox proportional hazards models without sharing individual-level data in multi-site studies.… read more here.
Keywords: level information; proportional hazards; level; cox proportional ... See more keywords
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2989301
Abstract: The Cox proportional hazards model is a popular semi-parametric model for survival analysis. In this paper, we aim at developing a federated algorithm for the Cox proportional hazards model over vertically partitioned data (i.e., data… read more here.
Keywords: direction method; hazards model; proportional hazards; cox proportional ... See more keywords
Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model
Sign Up to like & getrecommendations! Published in 2019 at "RMD Open"
DOI: 10.1136/rmdopen-2019-001048
Abstract: Objectives To identify potentially modifiable factors that mediate the association between symptomatic osteoarthritis (OA) and premature mortality. Methods A population-based prospective cohort study; primary care medical record data were linked to self-report information collected by… read more here.
Keywords: path analysis; analysis; cox proportional; mortality ... See more keywords
Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Immunology Research"
DOI: 10.1155/2021/5990417
Abstract: Mumps is a vaccine-preventable disease caused by the mumps virus, but the incidence of mumps has increased among the children who were vaccinated with one-dose measles-mumps-rubella (MMR) in recent years. In this study, we analyzed… read more here.
Keywords: hazard; two dose; immunization; cox proportional ... See more keywords
Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221134172
Abstract: We propose a flexible and scalable approximate Bayesian inference methodology for the Cox Proportional Hazards model with partial likelihood. The model we consider includes nonlinear covariate effects and correlated survival times. The proposed method is… read more here.
Keywords: nonlinear covariate; effects correlated; cox proportional; covariate effects ... See more keywords
Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model
Sign Up to like & getrecommendations! Published in 2021 at "BMC Cardiovascular Disorders"
DOI: 10.1186/s12872-020-01834-1
Abstract: Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up… read more here.
Keywords: cox proportional; model; cox; survival ... See more keywords
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.916511
Abstract: Objectives This study aimed to establish and validate a prognostic model based on magnetic resonance imaging and clinical features to predict the survival time of patients with glioblastoma multiforme (GBM). Methods In this study, a… read more here.
Keywords: network; cox proportional; curve; prediction ... See more keywords
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
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1049787
Abstract: Background Little is known about applying machine learning (ML) techniques to identify the important variables contributing to the occurrence of gastrointestinal (GI) cancer in epidemiological studies. We aimed to compare different ML models to a… read more here.
Keywords: gastrointestinal cancer; cox proportional; machine; machine learning ... See more keywords