Extreme learning machine Cox model for high-dimensional survival analysis.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8090
Abstract: Some interesting recent studies have shown that neural network models are useful alternatives in modeling survival data when the assumptions of a classical parametric or semiparametric survival model such as the Cox (1972) model are… read more here.
Keywords: cox model; extreme learning; learning machine; model ... See more keywords
A double-Cox model for non-proportional hazards survival analysis with frailty.
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9760
Abstract: The Cox regression, a semi-parametric method of survival analysis, is extremely popular in biomedical applications. The proportional hazards assumption is a key requirement in the Cox model. To accommodate non-proportional hazards, we propose to parameterize… read more here.
Keywords: proportional hazards; cox; double cox; cox model ... See more keywords
Cox proportional hazards regression in small studies of predictive biomarkers
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-64573-9
Abstract: Predictive biomarkers are essential for personalized medicine since they select the best treatment for a specific patient. However, of all biomarkers that are evaluated, only few are eventually used in clinical practice. Many promising biomarkers… read more here.
Keywords: small studies; proportional hazards; cox model; cox proportional ... See more keywords
On maximum likelihood estimation of the semi-parametric Cox model with time-varying covariates
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1681946
Abstract: Including time-varying covariates is a popular extension to the Cox model and a suitable approach for dealing with non-proportional hazards. However, partial likelihood (PL) estimation of this model has three shortcomings: (i) estimated regression coefficients… read more here.
Keywords: baseline hazard; time varying; cox model; time ... See more keywords
A win ratio approach for comparing crossing survival curves in clinical trials.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2023.2170393
Abstract: Many clinical trials include time-to-event or survival data as an outcome. To compare two survival distributions, the log-rank test is often used to produce a P-value for a statistical test of the null hypothesis that… read more here.
Keywords: win ratio; test; cox model; treatment ... See more keywords
Effectiveness of a French Program to Prevent Suicide Reattempt (VigilanS)
Sign Up to like & getrecommendations! Published in 2020 at "Archives of Suicide Research"
DOI: 10.1080/13811118.2020.1735596
Abstract: Abstract Aim Brief contact interventions (such as letters, green cards, telephone calls or postcards) for reducing suicide reattempt (SR) and suicide have been evaluated since the 1980s, but results have been inconsistent. VigilanS is one… read more here.
Keywords: nonexposed patients; cox model; program; propensity score ... See more keywords
Integration of gene interaction information into a reweighted Lasso-Cox model for accurate survival prediction
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa1046
Abstract: MOTIVATION Accurately predicting the risk of cancer patients is a central challenge for clinical cancer research. For high-dimensional gene expression data, Cox proportional hazard model with the least absolute shrinkage and selection operator for variable… read more here.
Keywords: cox model; model; lasso cox; gene interaction ... See more keywords
Doubly Robust Estimation under Possibly Misspecified Marginal Structural Cox Model
Sign Up to like & getrecommendations! Published in 2024 at "Biometrika"
DOI: 10.1093/biomet/asae065
Abstract: In this paper we consider the marginal structural Cox model, which has been widely used for analyzing observational studies with survival outcomes. The standard inverse probability weighting method under the model hinges upon a propensity… read more here.
Keywords: treatment; marginal structural; cox model; model ... See more keywords
WICOX: Weight-Based Integrated Cox Model for Time-to-Event Data in Distributed Databases Without Data-Sharing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3218585
Abstract: To exploit large-scale biomedical data, the application of common data models and the establishment of data networks are being actively carried out worldwide. However, due to the privacy issues, it is difficult to share data… read more here.
Keywords: time; data distributed; wicox; cox model ... See more keywords
Fine and Gray or Cox model?
Sign Up to like & getrecommendations! Published in 2024 at "Blood Advances"
DOI: 10.1182/bloodadvances.2023012157
Abstract: We read with interest the study by Akahoshi et al. 1 In this very large study, the authors found an association between cytomegalovirus (CMV) reactivation and reduced relapse rates, although the effect size was small.… read more here.
Keywords: cox model; model; hazard model; fine gray ... See more keywords
Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00033
Abstract: Mild cognitive impairment (MCI) represents a transitional stage from normal aging to Alzheimer’s disease (AD) and corresponds to a higher risk of developing AD. Thus, it is necessary to explore and predict the onset of… read more here.
Keywords: combination; network; cox model; analysis ... See more keywords