Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
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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Main Author: | Ferrante, Pasquale (auth) |
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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: | |
Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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