학술논문
Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data.
Document Type
Article
Author
Source
Subject
*PROPORTIONAL hazards models
*CONVALESCENT plasma
*HOSPITAL mortality
*HOSPITAL utilization
*COVID-19
*COVID-19 treatment
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Language
ISSN
2075-1729
Abstract
(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. [ABSTRACT FROM AUTHOR]