Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data

(1) Background: Several retrospective observational analyzed treatment outcomes for COVID-19; (2) Methods: Inverse probability of censoring weighting (IPCW) was applied to correct for bias due to informative censoring in database of hospitalized patients who did and did not receive convalescent plas...

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Detalles Bibliográficos
Autores principales: Lin, Hung-Mo, Liu, Sean T. H., Levin, Matthew A., Williamson, John, Bouvier, Nicole M., Aberg, Judith A., Reich, David, Egorova, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865049/
https://www.ncbi.nlm.nih.gov/pubmed/36676159
http://dx.doi.org/10.3390/life13010210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865049/
https://www.ncbi.nlm.nih.gov/pubmed/36676159
http://dx.doi.org/10.3390/life13010210

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