Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs.partial least squares

Honggang Yi; Hongmei Wo; Yang Zhao; Ruyang Zhang; Junchen Dai; Guangfu Jin; Hongxia Ma

doi:10.7555/JBR.29.20140043

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Home>Articles>Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs.partial least squares

DOI: 10.7555/JBR.29.20140043

Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs.partial least squares

Honggang Yi

Hongmei Wo

Yang Zhao

Ruyang Zhang

Junchen Dai

Guangfu Jin

Hongxia Ma

Keywords：principal components analysispartial least squares-based logistic regressiongenome-wide association studytype Ⅰ errorpower

Publication Date：2015-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

The Journal of Biomedical Research

ISSN：1674-8301

Year, Vol.(Issue)：2015,29(4)