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

Autor:	Hung-Mo Lin, Sean T. H. Liu, Matthew A. Levin, John Williamson, Nicole M. Bouvier, Judith A. Aberg, David Reich, Natalia Egorova
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	censoring COVID-19 convalescent plasma Science
Zdroj:	Life, Vol 13, Iss 1, p 210 (2023)
Druh dokumentu:	article
ISSN:	2075-1729
DOI:	10.3390/life13010210
Popis:	(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 plasma; (3) Results: When compared with an IPCW analysis, overall mortality was overestimated using an unadjusted Kaplan–Meier curve, and hazard ratios for the older age group compared to the youngest were underestimated using the Cox proportional hazard models and 30-day mortality; (4) Conclusions: An IPCW analysis provided stabilizing weights by hospital admission.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9ab274f5164e47fa9720a54a8cd3c3fd Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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