2009
DOI: 10.1016/j.envres.2008.11.002
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Examination of the relationships between environmental exposures to volatile organic compounds and biochemical liver tests: Application of canonical correlation analysis

Abstract: This study was to explore the relationships between personal exposure to ten volatile organic compounds (VOCs) and biochemical liver tests with the application of canonical correlation analysis. Data from a subsample of the 1999-2000 National Health and Nutrition Examination Survey were used. Serum albumin, total bilirubin (TB), alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), alkaline phosphatase (ALP), and γ-glutamyl transferase (GGT) served as the outcome variab… Show more

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Cited by 56 publications
(37 citation statements)
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“…b 1,7 Y 7 ), and q 1 is the coefficient of the first pair of canonical correlation b a 1 and b 1 are standardized canonical coefficients c Loading is canonical loadings: Loadings [0.35 are highlighted in bold. These were used to select variables believed to give a meaningful interpretation between the new pair of variables (Liu et al 2009) …”
Section: Discussionmentioning
confidence: 99%
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“…b 1,7 Y 7 ), and q 1 is the coefficient of the first pair of canonical correlation b a 1 and b 1 are standardized canonical coefficients c Loading is canonical loadings: Loadings [0.35 are highlighted in bold. These were used to select variables believed to give a meaningful interpretation between the new pair of variables (Liu et al 2009) …”
Section: Discussionmentioning
confidence: 99%
“…The relationships between the observed chronic toxicity and the TUs of contaminants were evaluated by a canonical correlation analysis (Liu et al 2009). This procedure described the linear relationship between two sets of variables, which were denoted as X 1 , X 2 , …, X m and Y 1 , Y 2 , …, Y n .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Sherestha and Kazama [14] applied CA, PCA, PFA, and discriminant analysis techniques to evaluate temporal and spatial variations and interpret a large complex water quality data set of the Fuji River basin. Liu et al [15] applied CCA to investigate relationship between personal exposure to ten volatile organic compounds and biochemical liver tests. Noori et al [16] proposed a multivariate statistical method, i.e., canonical correlation analysis for investigating the relationship between physical and chemical parameters of the Karoon River.…”
Section: Introductionmentioning
confidence: 99%
“…This approach enabled ranking of the different exposures within and across NHANES cycles using a false discovery rate corrected p-value. Liu et al [23] presented an approach using canonical correlation analysis to identify the markers contributing most to the model from a defined list of biomarkers for liver function and volatile organic compounds. They then carried out regression analysis using the most relevant subset of variables as determined by the canonical loadings.…”
Section: Related Workmentioning
confidence: 99%