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

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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Bibliographic Details
Main Authors: Hung-Mo Lin, Sean T. H. Liu, Matthew A. Levin, John Williamson, Nicole M. Bouvier, Judith A. Aberg, David Reich, Natalia Egorova
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Life
Subjects:
censoring
COVID-19
convalescent plasma
Online Access:https://www.mdpi.com/2075-1729/13/1/210

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