Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Model-averaged benchmark concentration estimates for continuous response data arising from epidemiological studies.

Authors
Noble-RB; Bailer-AJ; Park-R
Source
Risk Anal 2009 Apr; 29(4):558-564
NIOSHTIC No.
20035196
Abstract
Worker populations often provide data on adverse responses associated with exposure to potential hazards. The relationship between hazard exposure levels and adverse response can be modeled and then inverted to estimate the exposure associated with some specified response level. One concern is that this endpoint may be sensitive to the concentration metric and other variables included in the model. Further, it may be that the models yielding different risk endpoints are all providing relatively similar fits. We focus on evaluating the impact of exposure on a continuous response by constructing a model-averaged benchmark concentration from a weighted average of model-specific benchmark concentrations. A method for combining the estimates based on different models is applied to lung function in a cohort of miners exposed to coal dust. In this analysis, we see that a small number of the thousands of models considered survive a filtering criterion for use in averaging. Even after filtering, the models considered yield benchmark concentrations that differ by a factor of 2 to 9 depending on the concentration metric and covariates. The model-average BMC captures this uncertainty, and provides a useful strategy for addressing model uncertainty.
Keywords
Dose-response; Exposure-assessment; Exposure-methods; Laboratory-testing; Mathematical-models; Risk-analysis; Statistical-analysis; Author Keywords: BIC; concentration metrics; hierarchy of terms; model family; multiple regression; posterior model probabilities
Contact
Robert B. Noble, Miami University, Dept Mathmatics & Statistics, Oxford, OH 45056
CODEN
RIANDF
Publication Date
20090401
Document Type
Journal Article
Email Address
noblerb@muohio.edu
Funding Type
Contract
Fiscal Year
2009
NTIS Accession No.
NTIS Price
Identifying No.
Contract-211-2005-M-13470
Issue of Publication
4
ISSN
0272-4332
NIOSH Division
EID
Source Name
Risk Analysis
State
OH
TOP