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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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Bibliografische gegevens
Hoofdauteur: Ferrante, Pasquale (auth)
Andere auteurs: DI MASO, MATTEO (auth), Ferraroni, Monica (auth), Delbue, Serena (auth), Ambrogi, Federico (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Florence Firenze University Press 2021
Reeks:Proceedings e report 132
Onderwerpen:
Endogenous time-varying covariates
Time-dependent Cox model
Joint models
Inflammatory biomarkers
Covid-19 mortality
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