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Using supervised principal components analysis to assess multiple pollutant effects

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]

CollectionsANU Research Publications
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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