Model Uncertainty in Environmental Dose–Response Risk Analysis

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


This article discusses estimation of low-dose “benchmark” points in environmental risk analysis. Focus is on the increasing recognition that model uncertainty and misspecification can drastically affect point estimators and confidence limits built from limited dose–response data, which in turn can lead to imprecise risk assessments with uncertain, even dangerous, policy implications. Some possible remedies are mentioned, including use of parametric model averaging and nonparametric dose–response analysis.

Original languageEnglish (US)
Pages (from-to)78-85
Number of pages8
JournalStatistics and Public Policy
Issue number1
StatePublished - Dec 22 2014


  • Benchmark dose
  • Environmental risk assessment
  • Isotonic dose–response
  • Model adequacy
  • Model averaging
  • Model misspecification
  • Multi-model inference

ASJC Scopus subject areas

  • Public Administration
  • Statistics and Probability
  • Applied Mathematics
  • Statistics, Probability and Uncertainty


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