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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
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 |
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