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| Verfasst von: | Campbell, Harlan [VerfasserIn]  |
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| | Valpine, Perry de [VerfasserIn] |
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| | Maxwell, Lauren [VerfasserIn] |
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| | Jong, Valentijn M. T. de [VerfasserIn] |
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| | Debray, Thomas P. A. [VerfasserIn] |
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| | Jänisch, Thomas [VerfasserIn] |
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| | Gustafson, Paul [VerfasserIn] |
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| Titel: | Bayesian adjustment for preferential testing in estimating infection fatality rates |
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| Titelzusatz: | as motivated by the COVID-19 pandemic |
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| Verf.angabe: | Harlan Campbell, Perry de Valpine, Lauren Maxwell, Valentijn M.T. de Jong, Thomas P.A. Debray, Thomas Jaenisch and Paul Gustafson |
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| E-Jahr: | 2022 |
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| Jahr: | 28 March 2022 |
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| Umfang: | 24 S. |
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| Fussnoten: | Gesehen am 12.06.2022 |
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| Titel Quelle: | Enthalten in: The annals of applied statistics |
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| Ort Quelle: | Beachwood, Ohio : Inst. of Mathematical Statistics (IMS), 2007 |
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| Jahr Quelle: | 2022 |
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| Band/Heft Quelle: | 16(2022), 1, Seite 436-459 |
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| ISSN Quelle: | 1941-7330 |
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| Abstract: | A key challenge in estimating the infection fatality rate (IFR), along with its relation with various factors of interest, is determining the total number of cases. The total number of cases is not known not only because not everyone is tested but also, more importantly, because tested individuals are not representative of the population at large. We refer to the phenomenon whereby infected individuals are more likely to be tested than noninfected individuals as “preferential testing.” An open question is whether or not it is possible to reliably estimate the IFR without any specific knowledge about the degree to which the data are biased by preferential testing. In this paper we take a partial identifiability approach, formulating clearly where deliberate prior assumptions can be made and presenting a Bayesian model which pools information from different samples. When the model is fit to European data obtained from seroprevalence studies and national official COVID-19 statistics, we estimate the overall COVID-19 IFR for Europe to be 0.53%, 95% C.I.=[0.38%,0.70%]. |
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| DOI: | doi:10.1214/21-AOAS1499 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.1214/21-AOAS1499 |
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| | Volltext: https://projecteuclid.org/journals/annals-of-applied-statistics/volume-16/issue-1/Bayesian-adjustment-for-preferential-t ... |
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| | DOI: https://doi.org/10.1214/21-AOAS1499 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | evidence synthesis |
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| | partial identification |
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| | selection bias |
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| K10plus-PPN: | 1806821044 |
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| Verknüpfungen: | → Zeitschrift |
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Bayesian adjustment for preferential testing in estimating infection fatality rates / Campbell, Harlan [VerfasserIn]; 28 March 2022 (Online-Ressource)
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