Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1742-7622
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research ; volume:19 ; number:1 ; day:11 ; month:11 ; year:2022 ; pages:1-8 ; date:12.2022
Emerging themes in epidemiology ; 19, Heft 1 (11.11.2022), 1-8, 12.2022
- Creator
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Travis-Lumer, Yael
Goldberg, Yair
Levine, Stephen Z.
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1186/s12982-022-00118-7
- URN
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urn:nbn:de:101:1-2023012523261244054526
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Travis-Lumer, Yael
- Goldberg, Yair
- Levine, Stephen Z.
- SpringerLink (Online service)
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