Abstract
Abstract Models for survival data are often specified from the hazard function thereby allowing regression models to include covariates that change with time. This article reviews different types of time‐dependent covariates in survival analysis. Potential problems in connection with estimation of the survival function in models with time‐dependent covariates are discussed. Estimation in Cox's multiplicative regression model and other regression models with time‐dependent covariates, including additive models, are reviewed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.