Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models

Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models

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In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to corre...

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Bibliographic Details
Main Author: Ferrante, Pasquale (auth)
Other Authors: Di Maso, Matteo (auth), Ferraroni, Monica (auth), Delbue, Serena (auth), Ambrogi, Federico (auth)
Format: Electronic Book Chapter
Language:English
Published: Florence Firenze University Press 2021
Series:Proceedings e report 132
Subjects:
Social research & statistics
Endogenous time-varying covariates
Time-dependent Cox model
Joint models
Inflammatory biomarkers
Covid-19 mortality
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