MIGHT: Statistical Methodology for Missing-Data Imputation in Food Composition Databases

This paper addresses the problem of missing data in food composition databases (FCDBs). The missing data can be either for selected foods or for specific components only. Most often, the problem is solved by human experts subjectively borrowing data from other FCDBs, for data estimation or imputatio...

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書誌詳細

出版年:	Applied Sciences
主要な著者:	Gordana Ispirova, Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2019-10-01
主題:	food composition databases nutrient values missing data missing-data imputation data borrowing null hypothesis testing
オンライン･アクセス:	https://www.mdpi.com/2076-3417/9/19/4111