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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5595279/
https://ncbi.nlm.nih.gov/pubmed/28898245
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0182362
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