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...
Shranjeno v:
Glavni avtor: | Ferrante, Pasquale (auth) |
---|---|
Drugi avtorji: | DI MASO, MATTEO (auth), Ferraroni, Monica (auth), Delbue, Serena (auth), Ambrogi, Federico (auth) |
Format: | Elektronski Book Chapter |
Jezik: | angleščina |
Izdano: |
Florence
Firenze University Press
2021
|
Serija: | Proceedings e report
132 |
Teme: | |
Online dostop: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Oznake: |
Označite
Brez oznak, prvi označite!
|
Podobne knjige/članki
-
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
od: Ferrante, Pasquale
Izdano: (2021) -
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
od: Ferrante, Pasquale
Izdano: (2021) -
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
od: Ferrante, Pasquale
Izdano: (2021) -
Chapter The joint estimation of accuracy and speed: An application to the INVALSI data
od: Bungaro, Luca
Izdano: (2023) -
Chapter The joint estimation of accuracy and speed: An application to the INVALSI data
od: Bungaro, Luca
Izdano: (2023)