Improving data sharing in research with context-free encoded missing data

Lack of attention to missing data in research may result in biased results, loss of power and reduced generalizability. Registering reasons for missing values at the time of data collection, or—in the case of sharing existing data—before making data available to other teams, can save time and effort...

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Detalles Bibliográficos
Autores principales: Hoevenaar-Blom, Marieke P., Guillemont, Juliette, Ngandu, Tiia, Beishuizen, Cathrien R. L., Coley, Nicola, Moll van Charante, Eric P., Andrieu, Sandrine, Kivipelto, Miia, Soininen, Hilkka, Brayne, Carol, Meiller, Yannick, Richard, Edo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595279/
https://www.ncbi.nlm.nih.gov/pubmed/28898245
http://dx.doi.org/10.1371/journal.pone.0182362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595279/
https://www.ncbi.nlm.nih.gov/pubmed/28898245
http://dx.doi.org/10.1371/journal.pone.0182362

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