Using Supervised Principal Components Analysis to Assess Multiple Pollutant Effects
نویسندگان
چکیده
منابع مشابه
Using Supervised Principal Components Analysis to Assess Multiple Pollutant Effects
BACKGROUND Many investigations of the adverse health effects of multiple air pollutants analyze the time series involved by simultaneously entering the multiple pollutants into a Poisson log-linear model. This method can yield unstable parameter estimates when the pollutants involved suffer high intercorrelation; therefore, traditional approaches to dealing with multicollinearity, such as princ...
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ژورنال
عنوان ژورنال: Environmental Health Perspectives
سال: 2006
ISSN: 0091-6765,1552-9924
DOI: 10.1289/ehp.9226