Dichotomous outcomes vs. survival regression models for identification of predictors of mortality among patients with severe acute respiratory illness during COVID-19 pandemics

Dichotomous outcomes vs. survival regression models for identification of predictors of mortality among patients with severe acute respiratory illness during COVID-19 pandemics

IntroductionAs the studies predicting mortality in severe acute respiratory illness (SARI) have inferred associations either from dichotomous outcomes or from time-event models, we identified some clinical-epidemiological characteristics and predictors of mortality by comparing and discussing two mu...

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Bibliographic Details
Main Authors: Karen Ingrid Tasca, Camila Gonçalves Alves, Rejane Maria Tommasini Grotto, Leonardo Nazario de Moraes, Patrícia Akemi Assato, Carlos Magno Castelo Branco Fortaleza
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Public Health
Subjects:
SARI
COVID-19
multivariable models
Poisson regression
Cox regression
clinical predictors
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1271177/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1271177/full

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