Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

In risk evaluation, the effect of mixtures of environmental chemicals on a common adverse outcome is of interest. However, due to the high dimensionality and inherent correlations among chemicals that occur together, the traditional methods (e.g. ordinary or logistic regression) suffer from collinea...

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Bibliographic Details
Published in:	Journal of agricultural, biological, and environmental statistics Vol. 20; no. 1; pp. 100 - 120
Main Authors:	Carrico, Caroline, Gennings, Chris, Wheeler, David C., Factor-Litvak, Pam
Format:	Journal Article
Language:	English
Published:	Boston Springer Science+Business Media, LLC 01.03.2015 Springer US Springer
Subjects:	Actors Agriculture Biostatistics Chemical properties Health Sciences inflation Inflation (Economics) Mathematics and Statistics Medicine Monitoring/Environmental Analysis regression analysis Risk assessment shrinkage Statistics Statistics for Life Sciences variance WQS Correlation Nonlinear model Subset selection Variable selection
ISSN:	1085-7117, 1537-2693
Online Access:	Get full text
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