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Identifying and quantifying robust risk factors for mortality in critically ill patients with COVID-19 using quantile regression
OBJECTIVE: Many laboratory indicators form a skewed distribution with outliers in critically ill patients with COVID-19, for which robust methods are needed to precisely determine and quantify fatality risk factors. METHOD: A total of 192 critically ill patients (142 were discharged and 50 died in t...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467869/ https://www.ncbi.nlm.nih.gov/pubmed/33046291 http://dx.doi.org/10.1016/j.ajem.2020.08.090 |