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

Journal of Occupational and Environmental Hygiene

Volumn 5, Issue 8, 2008, Pages 519-529

  Chao, Yi Chun E ^a   Zhao, Yue ^b   Kupper, Lawrence L ^b   Nylander French, Leena A ^a  

^a University of North Carolina at Chapel Hill   (United States)

^b IL   (United States)

Author keywords

General Dominance Index; Johnson's Relative Weight; Multiple linear regression analysis; Pratt's Index; Predictor; Relative importance

Indexed keywords

ARTICLE; ATHEROSCLEROSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; HEALTH HAZARD; HUMAN; LINEAR REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; NONHUMAN; OCCUPATIONAL HAZARD; PLASTIC INDUSTRY; PREDICTOR VARIABLE; PRIORITY JOURNAL; RISK FACTOR; WORK ENVIRONMENT;

AIR POLLUTANTS, OCCUPATIONAL; ANIMALS; ATHEROSCLEROSIS; BIOMETRY; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; HUMANS; INHALATION EXPOSURE; LEAST-SQUARES ANALYSIS; LINEAR MODELS; LIPOPROTEINS; MICE; OCCUPATIONAL EXPOSURE; PUBLIC HEALTH; RISK FACTORS; STYRENE;

EID: 45849151747     PISSN: 15459624     EISSN: 15459632     Source Type: Journal    
DOI: 10.1080/15459620802225481     Document Type: Article

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