Bayesian group index regression for modeling chemical mixtures and cancer risk

HIGHLIGHTS

• who: David C. Wheeler et al. from the Department of Biostatistics, School of Medicine, Virginia Commonwealth University have published the paper: Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk, in the Journal: (JOURNAL)
• what: The authors propose a index model to avoid the estimation limitation of GWQS while having multiple exposure indices in the model. The authors focus on exposure to multiple diverse environmental chemicals and develop a statistical method that expands on weighted quantile sum regression (WQS) to model cancer risk. This approach has been used in many studies of environmental . . .
  

   

  

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