Model Averaging Software for Dichotomous Dose Response Risk Estimation

Details

• Personal Author:
  Bailer AJ ; Wheeler, Matthew W. ; Bailer AJ ; Wheeler, Matthew W.
• Description:
  Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation. We introduce software that implements model averaging for risk assessment based upon dichotomous dose-response data. This software, which we call Model Averaging for Dichotomous Response Benchmark Dose (MADr-BMD), fits the quantal response models, which are also used in the US Environmental Protection Agency benchmark dose software suite, and generates a model-averaged dose response model to generate benchmark dose and benchmark dose lower bound estimates. The software fulfills a need for risk assessors, allowing them to go beyond one single model in their risk assessments based on quantal data by focusing on a set of models that describes the experimental data. [Description provided by NIOSH]
• Subjects:
  Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Analytical-methods Analytical-processes Author Keywords: Bootstrapping Information Criteria Mathematical-models Models Model Uncertainty Risk-analysis Risk-factors Statistical-analysis
• ISSN:
  1548-7660
• Document Type:
  Text
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Division:
  EID - Education and Information Division ; EID - Education and Information Division
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Pages in Document:
  1-15
• Volume:
  26
• Issue:
  5
• NIOSHTIC Number:
  nn:20034168
• Citation:
  J Stat Softw 2008 Jun; 26(5):1-15
• Contact Point Address:
  Wheeler, MW, NIOSH, Education & Information Division, Risk Evaluation Branch, CDC, 4686 Columbia Parkway, MS C-15, Cincinnati, OH 45226
• Email:
  MWheeler@cdc.gov
• Federal Fiscal Year:
  2008
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Statistical Software
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:ffc777849cb5b4a93da9683078faccb7ebdd8c5c339f7c97186424c9b9a3f410ba23898e925ce69ef2e6a4b1da20ba7108fdba3d5dbf474129c83ee1588744ea
• Download URL:
  https://stacks.cdc.gov/view/cdc/189507/cdc_189507_DS1.pdf
• File Type:
  [PDF - 286.54 KB ]