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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Vydáno v:PLoS One
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2017
Témata:
Research Article
On-line přístup: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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