Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1742-7622
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
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
- Urheber
-
Travis-Lumer, Yael
Goldberg, Yair
Levine, Stephen Z.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12982-022-00118-7
- URN
-
urn:nbn:de:101:1-2023012523261244054526
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
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Beteiligte
- Travis-Lumer, Yael
- Goldberg, Yair
- Levine, Stephen Z.
- SpringerLink (Online service)
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