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Upper limits for exceedance probabilities under the one-way random effects model.
Krishnamoorthy-K; Mathew-T; Ramachandran-G
Ann Occup Hyg 2007 Jun; 51(4):397-406
In this article, we propose statistical methods for setting upper limits on (i) the probability that the mean exposure of an individual worker exceeds the occupational exposure limit (OEL) and (ii) the probability that the exposure of a worker exceeds the OEL. The proposed method for (i) is obtained using the generalized variable approach, and the one for (ii) is based on an approximate method for constructing one-sided tolerance limits in the one-way random effects model. Even though tolerance limits can be used to assess the proportion of exposure measurements exceeding the OEL, the upper limits on these probabilities are more informative than tolerance limits. The methods are conceptually as well as computationally simple. Two data sets involving industrial exposure data are used to illustrate the methods.
Statistical-analysis; Epidemiology; Exposure-assessment; Risk-analysis; Exposure-limits; Exposure-methods; Tolerance-threshold; Author Keywords: between- and within-worker variability; generalized confidence interval; generalized P-value; tolerance interval
K. Krishnamoorthy, Department of Mathematics University of Louisiana at Lafayette Lafayette, LA 70504
Issue of Publication
Annals of Occupational Hygiene
MD; LA; MN
University of Maryland, Baltimore
Page last reviewed: March 11, 2019
Content source: National Institute for Occupational Safety and Health Education and Information Division