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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
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Series: | Life |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1729/13/1/210 |