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Volumn 117, Issue 13, 2008, Pages 1732-1737

Multiple linear regression: Accounting for multiple simultaneous determinants of a continuous dependent variable

Author keywords

Biostatistics; Data analysis; Statistics

Indexed keywords

ANALYSIS OF VARIANCE; CARDIOVASCULAR RISK; DEPENDENT VARIABLE; INDEPENDENT VARIABLE; MULTIPLE LINEAR REGRESSION ANALYSIS; PREDICTOR VARIABLE; PRIORITY JOURNAL; REGRESSION ANALYSIS; REVIEW;

EID: 41649100832     PISSN: 00097322     EISSN: None     Source Type: Journal    
DOI: 10.1161/CIRCULATIONAHA.106.654376     Document Type: Review
Times cited : (96)

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    • Smith, G.1    Campbell, F.2
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    • Multiple regression for physiological data analysis: The problem of multicollinearity
    • Slinker BK, Glantz SA. Multiple regression for physiological data analysis: the problem of multicollinearity. Am J Physiol. 1985;249:R1-R12.
    • (1985) Am J Physiol , vol.249
    • Slinker, B.K.1    Glantz, S.A.2
  • 14
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    • The analysis and selection of variables in linear regression
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    • Hocking, R.R.1
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    • Families of lines: Random effects in linear regression analysis
    • Feldman HA. Families of lines: random effects in linear regression analysis. J Appl Physiol. 1988;64:1721-1732.
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    • Feldman, H.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.