Works (2)

Updated: July 5th, 2023 15:44

2017 journal article

Model Selection and Estimation with Quantal-Response Data in Benchmark Risk Assessment

RISK ANALYSIS, 37(4), 716–732.

By: E. Pena*, W. Wu*, W. Piegorsch*, R. West n & L. An*

author keywords: Focused-inference approach; information measures; model averaging; model selection problem; pooled adjacent violators algorithm (PAVA); quantal-dose response; two-step estimation approach
MeSH headings : Carcinogens; Computer Simulation; Dose-Response Relationship, Drug; Humans; Models, Statistical; No-Observed-Adverse-Effect Level; Regression Analysis; Risk Assessment / methods
TL;DR: Several approaches for estimating the benchmark dose (BMD) in a risk assessment study with quantal dose‐response data and when there are competing model classes for the dose‐ response function are described and compared. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Information-theoretic model-averaged benchmark dose analysis in environmental risk assessment

ENVIRONMETRICS, 24(3), 143–157.

By: W. Piegorsch*, L. An*, A. Wickens*, R. West n, E. Pena* & W. Wu*

author keywords: Akaike information criterion (AIC); doseresponse modeling; frequentist model averaging; model uncertainty; multi-model inference
TL;DR: Application of a frequentist model averaging approach for estimating benchmark doses, based on information-theoretic weights, can improve environmental health planning and risk regulation when dealing with low-level exposures to hazardous agents. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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