Partial-linear single-index Cox regression models with multiple time-dependent covariates

Partial-linear single-index Cox regression models with multiple time-dependent covariates

Abstract Background In cohort studies with time-to-event outcomes, covariates of interest often have values that change over time. The classical Cox regression model can handle time-dependent covariates but assumes linear effects on the log hazard function, which can be limiting in practice. Further...

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Main Authors: Myeonggyun Lee, Andrea B. Troxel, Sophia Kwon, George Crowley, Theresa Schwartz, Rachel Zeig-Owens, David J. Prezant, Anna Nolan, Mengling Liu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Research Methodology
Subjects:
B-spline smoothing
Semiparametric model
Time-dependent Cox regression
Metabolic syndrome
Lung injury
Online Access:https://doi.org/10.1186/s12874-024-02434-9
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https://doi.org/10.1186/s12874-024-02434-9

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