Identifying typical trajectories in longitudinal data: modelling strategies and interpretations
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-7284
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Identifying typical trajectories in longitudinal data: modelling strategies and interpretations ; volume:35 ; number:3 ; day:5 ; month:3 ; year:2020 ; pages:205-222 ; date:3.2020
European journal of epidemiology ; 35, Heft 3 (5.3.2020), 205-222, 3.2020
- Klassifikation
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Medizin, Gesundheit
- Urheber
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Herle, Moritz
Micali, Nadia
Abdulkadir, Mohamed
Loos, Ruth
Bryant-Waugh, Rachel
Hübel, Christopher
Bulik, Cynthia M.
De Stavola, Bianca L.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s10654-020-00615-6
- URN
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urn:nbn:de:101:1-2020070121525531121957
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
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Beteiligte
- Herle, Moritz
- Micali, Nadia
- Abdulkadir, Mohamed
- Loos, Ruth
- Bryant-Waugh, Rachel
- Hübel, Christopher
- Bulik, Cynthia M.
- De Stavola, Bianca L.
- SpringerLink (Online service)
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