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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Published in | Life (Basel, Switzerland) Vol. 13; no. 1; p. 210 |
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Main Authors | , , , , , , , |
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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. |
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AbstractList | (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. |
Audience | Academic |
Author | Lin, Hung-Mo Williamson, John Liu, Sean T H Bouvier, Nicole M Aberg, Judith A Egorova, Natalia Reich, David Levin, Matthew A |
AuthorAffiliation | 1 Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 3 Department of Anesthesiology, Perioperative and Pain Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 2 Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 4 Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA |
AuthorAffiliation_xml | – name: 3 Department of Anesthesiology, Perioperative and Pain Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – name: 4 Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA – name: 2 Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – name: 1 Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA |
Author_xml | – sequence: 1 givenname: Hung-Mo surname: Lin fullname: Lin, Hung-Mo organization: Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 2 givenname: Sean T H surname: Liu fullname: Liu, Sean T H organization: Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 3 givenname: Matthew A orcidid: 0000-0002-6013-2684 surname: Levin fullname: Levin, Matthew A organization: Department of Anesthesiology, Perioperative and Pain Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 4 givenname: John surname: Williamson fullname: Williamson, John organization: Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA – sequence: 5 givenname: Nicole M surname: Bouvier fullname: Bouvier, Nicole M organization: Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 6 givenname: Judith A orcidid: 0000-0001-8162-0284 surname: Aberg fullname: Aberg, Judith A organization: Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 7 givenname: David surname: Reich fullname: Reich, David organization: Department of Anesthesiology, Perioperative and Pain Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 8 givenname: Natalia surname: Egorova fullname: Egorova, Natalia organization: Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA |
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Cites_doi | 10.1086/502067 10.1161/CIRCULATIONAHA.115.017719 10.1001/jama.2020.17023 10.1146/annurev.publhealth.18.1.83 10.1038/s41571-020-0368-0 10.1111/1475-6773.13069 10.1200/JCO.2014.55.6340 10.1001/jamacardio.2021.4932 10.1056/NEJMoa2007764 10.2147/CLEP.S256735 10.1111/j.0006-341X.2000.00779.x 10.1038/s42255-021-00407-6 10.1007/978-1-4757-1229-2 10.2196/19538 10.1111/tan.13191 10.1097/00001648-200009000-00012 |
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SubjectTerms | Analysis Bias Bias (Statistics) censoring Censoring (Statistics) convalescent plasma Coronaviruses COVID-19 Electronic data processing Hospital care Medical research Medicine, Experimental Methods Mortality Patient outcomes Statistical models Statistics United States |
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Title | Informative Censoring-A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data |
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