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Estimating benchmark concentrations and other noncancer endpoints in epidemiology studies.

Authors
Bailer-AJ; Stayner-LT; Smith-RJ; Kuempel-ED; Prince-MM
Source
Risk Anal 1997 Dec; 17(6):771-780
NIOSHTIC No.
20033955
Abstract
Methods for evaluating the hazards associated with noncancer responses with epidemiologic data are considered. The methods for noncancer risk assessment have largely been developed for experimental data, and are not always suitable for the more complex structure of epidemiologic data. In epidemiology, the measurement of the response and the exposure is often either continuous or dichotomous. For a continuous noncancer response modeled with multiple regression, a variety of endpoints may be examined: (1) the concentration associated with absolute or relative decrements in response; (2) a threshold concentration associated with no change in response; and (3) the concentration associated with a particular added risk of impairment. For a dichotomous noncancer response modeled with logistic regression, concentrations associated with specified added/extra risk or with a threshold responses may be estimated. No-observed-effect concentrations may also be estimated for categorizations of exposures for both continuous and dichotomous responses but these may depend on the arbitrary categories chosen. Respiratory function in miners exposed to coal dust is used to illustrate these methods.
Keywords
Epidemiology; Risk-analysis; Risk-factors; Laboratory-testing; Mathematical-models; Exposure-assessment; Respirable-dust; Respiratory-irritants; Respiratory-system-disorders; Pulmonary-congestion; Pulmonary-system; Pulmonary-system-disorders; Miners; Coal-miners; Coal-mining; Author Keywords: old; added risk; multiple regression; logistic regression; FEV1
Contact
AJ Bailer, Miami University, Dept Math & Stat, Oxford, OH 45056
CODEN
RIANDF
Publication Date
19971201
Document Type
Journal Article
Fiscal Year
1998
NTIS Accession No.
NTIS Price
Issue of Publication
6
ISSN
0272-4332
NIOSH Division
EID
Source Name
Risk Analysis
State
OH
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