Benchmark Dose Profiles for Joint-Action Quantal Data in Quantitative Risk Assessment

Roland C. Deutsch, Walter W. Piegorsch

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Benchmark analysis is a widely used tool in public health risk analysis. Therein, estimation of minimum exposure levels, called Benchmark Doses (BMDs), that induce a prespecified Benchmark Response (BMR) is well understood for the case of an adverse response to a single stimulus. For cases where two agents are studied in tandem, however, the benchmark approach is far less developed. This article demonstrates how the benchmark modeling paradigm can be expanded from the single-dose setting to joint-action, two-agent studies. Focus is on response outcomes expressed as proportions. Extending the single-exposure setting, representations of risk are based on a joint-action dose-response model involving both agents. Based on such a model, the concept of a benchmark profile (BMP) - a two-dimensional analog of the single-dose BMD at which both agents achieve the specified BMR - is defined for use in quantitative risk characterization and assessment. The resulting, joint, low-dose guidelines can improve public health planning and risk regulation when dealing with low-level exposures to combinations of hazardous agents.

Original languageEnglish (US)
Pages (from-to)1313-1322
Number of pages10
JournalBiometrics
Volume68
Issue number4
DOIs
StatePublished - Dec 2012

Keywords

  • Benchmark analysis
  • Joint-action model
  • Quantal-response data
  • Quantitative risk assessment
  • Safety assessment
  • Simultaneous inference

ASJC Scopus subject areas

  • Statistics and Probability
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Benchmark Dose Profiles for Joint-Action Quantal Data in Quantitative Risk Assessment'. Together they form a unique fingerprint.

Cite this