Results 151 to 160 of about 426,709 (217)

Cox Proportional Hazards Regression Model

2001
The Cox proportional hazards model 132 is the most popular model for the analysis of survival data. It is a semiparametric model; it makes a parametric assumption concerning the effect of the predictors on the hazard function, but makes no assumption regarding the nature of the hazard function λ(t) itself.
F. Harrell
openaire   +2 more sources

Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine

2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 2022
The Cox Proportional Hazards regression is among the most widely used models in clinical and epidemiological research for investigating the association between time-to-event outcomes and multiple predictors, that, in the modern perspective of ...
C. Masciocchi, B. Gottardelli, Mariachiara Savino, L. Boldrini, A. Martino, C. Mazzarella, M. Massaccesi, V. Valentini, A. Damiani   +8 more
semanticscholar   +1 more source

Mediation analysis with causally ordered mediators using Cox proportional hazards model

Statistics in Medicine, 2018
Causal mediation analysis aims to investigate the mechanism linking an exposure and an outcome. However, studies regarding mediation effects on survival outcomes are limited, particularly in multi‐mediator settings.
Shu-Hsien Cho, Yen-Tsung Huang
semanticscholar   +1 more source

Goodness-of-fit tests in the Cox proportional hazards model

Communications in statistics. Simulation and computation, 2019
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards (PH) model and compare their performance. Aspects of the model under test include the baseline distribution and time-invariance of covariates.
M. Cockeran, S. Meintanis, J. Allison
semanticscholar   +1 more source

Functional Form Diagnostics for Cox's Proportional Hazards Model

Biometrics, 2004
Summary. We propose a new type of residual and an easily computed functional form test for the Cox proportional hazards model. The proposed test is a modification of the omnibus test for testing the overall fit of a parametric regression model, developed byStute, González Manteiga, and Presedo Quindimil(1998,Journal of the American Statistical ...
León, Larry F., Tsai, Chih-Ling
openaire   +3 more sources

Survival Analysis with Cox Proportional Hazards Model in Predicting Patient Outcomes

International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-]
Survival analysis is crucial for understanding the factors that influence patient outcomes across time. The objective is to predict the outcomes of patient survival under various circumstances using the Cox Proportional Hazards Model. The main objectives
Monikapreethi S K, J. Preetha, K. N. Reddy, S. Ramya, Yuvaraj S, S. Murugan   +5 more
semanticscholar   +1 more source

Mediation analysis for mixture Cox proportional hazards cure models

Statistical Methods in Medical Research, 2021
Mediation analysis aims to decompose a total effect into specific pathways and investigate the underlying causal mechanism. Although existing methods have been developed to conduct mediation analysis in the context of survival models, none of these methods accommodates the existence of a substantial proportion of subjects who never experience the ...
Xiaoxiao Zhou, Xinyuan Song
openaire   +2 more sources

Random weighting method for Cox’s proportional hazards model

Science in China Series A: Mathematics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cui, Wenquan, Li, Kai, Yang, Yaning, Wu, Yuehua   +3 more
openaire   +2 more sources

Models of Cox’s Proportional Hazards

Mathematica Applicanda, 2011
The paper presents Cox proportional hazards model, its properties and methods of its parameters estimation. It is widely applicable in survival analysis – in prediction of survival chances of some objects (usually patients in medical studies). The essential advantage of the model is allowing of incomplete data, which often appear in studies – both in ...
openaire   +1 more source

Survival analysis via cox proportional hazards additive models

Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
The Cox proportional hazards model is commonly used to examine the covariate-adjusted association between a predictor of interest and the risk of mortality for censored survival data. However, it assumes a parametric relationship between covariates and mortality risk though a linear predictor.
Lu Bai, Daniel Gillen
openaire   +1 more source