Identifying typical trajectories in longitudinal data: modelling strategies and interpretations

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1573-7284
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Classification
Medizin, Gesundheit

Creator
Herle, Moritz
Micali, Nadia
Abdulkadir, Mohamed
Loos, Ruth
Bryant-Waugh, Rachel
Hübel, Christopher
Bulik, Cynthia M.
De Stavola, Bianca L.
Contributor
SpringerLink (Online service)

DOI
10.1007/s10654-020-00615-6
URN
urn:nbn:de:101:1-2020070121525531121957
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:45 AM CEST

Data provider

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