Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2288
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials ; volume:22 ; number:1 ; day:24 ; month:9 ; year:2022 ; pages:1-14 ; date:12.2022
BMC medical research methodology ; 22, Heft 1 (24.9.2022), 1-14, 12.2022

Creator
Staudt, Andreas
Freyer-Adam, Jennis
Ittermann, Till
Meyer, Christian
Bischof, Gallus
John, Ulrich
Baumann, Sophie
Contributor
SpringerLink (Online service)

DOI
10.1186/s12874-022-01727-1
URN
urn:nbn:de:101:1-2022121221034448295855
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:25 AM CEST

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Associated

  • Staudt, Andreas
  • Freyer-Adam, Jennis
  • Ittermann, Till
  • Meyer, Christian
  • Bischof, Gallus
  • John, Ulrich
  • Baumann, Sophie
  • SpringerLink (Online service)

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