Using statutory health insurance data to evaluate non-response in a cross-sectional study on depression among patients with diabetes in Germany

BACKGROUND: Low response rates do not indicate poor representativeness of study populations if non-response occurs completely at random. A non-response analysis can help to investigate whether non-response is a potential source for bias within a study. METHODS: A cross-sectional survey among a rando...

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Detalles Bibliográficos
Autores principales: Linnenkamp, Ute, Gontscharuk, Veronika, Brüne, Manuela, Chernyak, Nadezda, Kvitkina, Tatjana, Arend, Werner, Fiege, Annett, Schmitz-Losem, Imke, Kruse, Johannes, Evers, Silvia M A A, Hiligsmann, Mickaël, Hoffmann, Barbara, Andrich, Silke, Icks, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266537/
https://www.ncbi.nlm.nih.gov/pubmed/31990354
http://dx.doi.org/10.1093/ije/dyz278

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266537/
https://www.ncbi.nlm.nih.gov/pubmed/31990354
http://dx.doi.org/10.1093/ije/dyz278

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