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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| Vydané v: | Journal of agricultural, biological, and environmental statistics Ročník 20; číslo 1; s. 100 - 120 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Boston
Springer Science+Business Media, LLC
01.03.2015
Springer US Springer |
| Predmet: | |
| ISSN: | 1085-7117, 1537-2693 |
| On-line prístup: | Získať plný text |
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