Missing data imputation via the expectation-maximization algorithm can improve principal component analysis aimed at deriving biomarker profiles and dietary patterns

标题
Missing data imputation via the expectation-maximization algorithm can improve principal component analysis aimed at deriving biomarker profiles and dietary patterns
作者
关键词
-
出版物
NUTRITION RESEARCH
Volume 75, Issue -, Pages 67-76
出版商
Elsevier BV
发表日期
2020-01-10
DOI
10.1016/j.nutres.2020.01.001

向作者/读者发起求助以获取更多资源

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation