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Volumn 5, Issue 1, 2008, Pages 65-71

Using latent variables in logistic regression to reduce multicollinearity, a case-control example: Breast cancer risk factors

Author keywords

Breast cancer; Factor analysis; Latent variables; Logistic regression; Multicollinearity; Principal components analysis

Indexed keywords


EID: 51449121212     PISSN: 17237815     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (24)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.