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Predicting complete loss to follow-up after a health-education program: number of absences and face-to-face contact with a researcher

BACKGROUND: Research on health-education programs requires longitudinal data. Loss to follow-up can lead to imprecision and bias, and complete loss to follow-up is particularly damaging. If that loss is predictable, then efforts to prevent it can be focused on those program participants who are at t...

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Detalles Bibliográficos
Autores principales:	Park, MJ, Yamazaki, Yoshihiko, Yonekura, Yuki, Yukawa, Keiko, Ishikawa, Hirono, Kiuchi, Takahiro, Green, Joseph
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215183/ https://www.ncbi.nlm.nih.gov/pubmed/22032732 http://dx.doi.org/10.1186/1471-2288-11-145

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