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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |