Using supervised principal components analysis to assess multiple pollutant effects
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Roberts, Steven; Martin, Michael
Description
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 principal component analysis (PCA) , have been promoted in this context. OBJECTIVES: A characteristic...[Show more]
Collections | ANU Research Publications |
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Date published: | 2006-08-24 |
Type: | Journal article |
URI: | http://hdl.handle.net/10440/537 http://digitalcollections.anu.edu.au/handle/10440/537 |
Source: | Environmental Health Perspectives |
DOI: | 10.1289/ehp.9226 |
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Roberts_UsingSupervised2006.pdf | 526.17 kB | Adobe PDF |
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