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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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Bibliographische Detailangaben
Veröffentlicht in:J Agric Biol Environ Stat
Hauptverfasser: Carrico, Caroline, Gennings, Chris, Wheeler, David C., Factor-Litvak, Pam
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6261506/
https://ncbi.nlm.nih.gov/pubmed/30505142
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13253-014-0180-3
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