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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| Beste egile batzuk: | , , , |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Florence
Firenze University Press
2021
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| Saila: | Proceedings e report
132 |
| Gaiak: | |
| Sarrera elektronikoa: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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OAPEN Library: description of the publication
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
Argitaratua 2021
OAPEN Library: download the publication
OAPEN Library: description of the publication
Baliabide elektronikoa
Liburu kapitulua
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DOAB: description of the publication
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
Argitaratua 2021
DOAB: download the publication
DOAB: description of the publication
Baliabide elektronikoa
Liburu kapitulua
Search Result 3
DOAB: description of the publication
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models
Argitaratua 2021
DOAB: download the publication
DOAB: description of the publication
Baliabide elektronikoa
Liburu kapitulua