Estimating benchmark concentrations and other noncancer endpoints in epidemiology studies

被引:17
作者
Bailer, AJ [1 ]
Stayner, LT
Smith, RJ
Kuempel, ED
Prince, MM
机构
[1] Miami Univ, Dept Math & Stat, Oxford, OH 45056 USA
[2] NIOSH, Cincinnati, OH 45226 USA
关键词
threshold; added risk; multiple regression; logistic regression; FEV1;
D O I
10.1111/j.1539-6924.1997.tb01282.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:771 / 780
页数:10
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