Quantifying the relative importance of predictors in multiple linear regression analyses for public health studies.

Chao, Yi-Chun E; Zhao, Yue; Kupper, Lawrence L; Nylander-French, Leena A

Chao, Yi-Chun E; Zhao, Yue; Kupper, Lawrence L; Nylander-French, Leena A.

Affiliation

Chao YC; Department of Environmental Sciences and Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7431, USA.

J Occup Environ Hyg ; 5(8): 519-29, 2008 Aug.

Article in En | MEDLINE | ID: mdl-18569519

Subject(s)

Biometry/methods; Data Interpretation, Statistical; Linear Models; Public Health/methods; Air Pollutants, Occupational/analysis; Animals; Atherosclerosis/etiology; Confounding Factors, Epidemiologic; Humans; Inhalation Exposure/analysis; Least-Squares Analysis; Lipoproteins/blood; Mice; Occupational Exposure/analysis; Risk Factors; Styrene/analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Linear Models / Public Health / Data Interpretation, Statistical / Biometry Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: J Occup Environ Hyg Journal subject: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Year: 2008 Type: Article Affiliation country: United States

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