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...

詳細記述

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書誌詳細
出版年:PLoS One
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2017
主題:
Research Article
オンライン･アクセス: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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