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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Muut tekijät: | , , , |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| Kieli: | englanti |
| Julkaistu: |
Florence
Firenze University Press
2021
|
| Sarja: | Proceedings e report
|
| Aiheet: | |
| Linkit: | DOAB: download the publication DOAB: description of the publication |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|
Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Hyllypaikka: |
A1234.567 |
|---|---|
| Nide 1 | Saatavissa |