Model Uncertainty in Environmental Dose–Response Risk Analysis

Walter W. Piegorsch

doi:10.1080/2330443X.2014.937021

Model Uncertainty in Environmental Dose–Response Risk Analysis

Walter W. Piegorsch

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	78-85
Number of pages	8
Journal	Statistics and Public Policy
Volume	1
Issue number	1
DOIs	https://doi.org/10.1080/2330443X.2014.937021
State	Published - Dec 22 2014

Keywords

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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10.1080/2330443X.2014.937021

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abstract = "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.",

keywords = "Benchmark dose, Environmental risk assessment, Isotonic dose–response, Model adequacy, Model averaging, Model misspecification, Multi-model inference",

author = "Piegorsch, {Walter W.}",

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AB - 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.

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KW - Environmental risk assessment

KW - Isotonic dose–response

KW - Model adequacy

KW - Model averaging

KW - Model misspecification

KW - Multi-model inference

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Model Uncertainty in Environmental Dose–Response Risk Analysis

Abstract

Keywords

ASJC Scopus subject areas

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