Bayesian correction for exposure misclassification and evolution of evidence in two studies of the association between maternal occupational exposure to asthmagens and risk of autism spectrum disorder

Details

• Alternative Title:
  Curr Environ Health Rep
• Personal Author:
  Singer, Alison B. ; Daniele Fallin, M. ; Burstyn, Igor
• Description:
  Purpose of the article:
  
  Inference in epidemiologic studies is plagued by exposure misclassification. Several methods exist to correct for misclassification error. One approach is to use point estimates for the sensitivity (Sn) and specificity (Sp) of the tool used for exposure assessment. Unfortunately, we typically do not know the Sn and Sp with certainty. Bayesian methods for exposure misclassification correction allow us to model this uncertainty via distributions for Sn and Sp. These methods have been applied in epidemiologic literature, but are not considered a mainstream approach, especially in occupational epidemiology.
  
  Recent findings:
  
  Here we illustrate an occupational epidemiology application of a Bayesian approach to correct for the differential misclassification error generated by estimating occupational exposures from job codes using a job exposure matrix (JEM).
  
  Summary:
  
  We argue that analyses accounting for exposure misclassification should become more commonplace in the literature.
  
  
• Keywords:
  Adult Asthma Asthma, Occupational Autism Autism Spectrum Disorder Bayesian Bayes Theorem Exposure Misclassification Female Humans Maternal Exposure Occupational Epidemiology Occupational Exposure Risk Assessment

  More +
• Source:
  Curr Environ Health Rep. 5(3):338-350
• Pubmed ID:
  30030714
• Pubmed Central ID:
  PMC6208353
• Document Type:
  Journal Article
• Funding:
  U10 DD000180/DD/NCBDD CDC HHSUnited States/ ; T32 ES007018/ES/NIEHS NIH HHSUnited States/ ; U10 DD000184/DD/NCBDD CDC HHSUnited States/ ; U01 DD000498/DD/NCBDD CDC HHSUnited States/ ; U10 DD000183/DD/NCBDD CDC HHSUnited States/ ; U10 DD000181/DD/NCBDD CDC HHSUnited States/ ; AS8576/AS/Autism SpeaksUnited States/ ; U01 DD001214/DD/NCBDD CDC HHSUnited States/ ; U10 DD000182/DD/NCBDD CDC HHSUnited States/
• Volume:
  5
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:420698c48a2420938414f8feac3e4f15ba3cad04161e49d2bb7dcfee60cfca54
• Download URL:
  https://stacks.cdc.gov/view/cdc/60201/cdc_60201_DS1.pdf
• File Type:
  [PDF - 472.65 KB ]