Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7284
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses ; volume:37 ; number:12 ; day:5 ; month:11 ; year:2022 ; pages:1215-1224 ; date:12.2022
European journal of epidemiology ; 37, Heft 12 (5.11.2022), 1215-1224, 12.2022
- Urheber
-
Shaw, Richard J.
Harron, Katie L.
Pescarini, Julia M.
Pinto Junior, Elzo Pereira
Allik, Mirjam
Siroky, Andressa N.
Campbell, Desmond
Dundas, Ruth
Ichihara, Maria Yury
Leyland, Alastair H.
Barreto, Mauricio L.
Katikireddi, Srinivasa Vittal
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10654-022-00934-w
- URN
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urn:nbn:de:101:1-2023030721221273654802
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:46 MESZ
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Beteiligte
- Shaw, Richard J.
- Harron, Katie L.
- Pescarini, Julia M.
- Pinto Junior, Elzo Pereira
- Allik, Mirjam
- Siroky, Andressa N.
- Campbell, Desmond
- Dundas, Ruth
- Ichihara, Maria Yury
- Leyland, Alastair H.
- Barreto, Mauricio L.
- Katikireddi, Srinivasa Vittal
- SpringerLink (Online service)
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