On strategies for comparing occupational exposure data to limits

American Industrial Hygiene Association Journal
R H Lyles, L Kupper

Abstract

Parametric statistical approaches to assessing workplace exposure levels have typically focused either on the probability that a single measurement exceeds a limit or on whether the mean exposure for a population of workers exceeds a limit. This article reviews and clarifies some methods that have been proposed for each of these two approaches, on the assumption that the exposure data represent a random sample from a lognormal distribution. For tests concerning the mean exposure level, the authors developed a potentially useful new procedure based on a bound for noncentral t critical values. Appropriate sample size calculations are emphasized, and computer simulation is used to compare competing methods for assessing mean exposure. The authors conclude that the new proposed method offers an appealing alternative to existing methods in many cases. The importance of employing an exposure assessment strategy that is in concert with underlying etiologic considerations is stressed.

Citations

Aug 21, 2002·Statistics in Medicine·Douglas J TaylorKeith E Muller
May 19, 1998·Life Sciences·S A MurphyR J Richards
Mar 21, 2012·Journal of Occupational and Environmental Hygiene·Trevor Ogden, Jérôme Lavoué
May 24, 2011·BMC Medical Research Methodology·Svend Erik Mathiassen, Kristian Bolin
Aug 17, 2005·Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology·G-A HanssonI Balogh
Nov 8, 2006·Journal of Occupational and Environmental Hygiene·K KrishnamoorthyGurumurthy Ramachandran
Dec 15, 2018·Annals of Work Exposures and Health·Jérôme LavouéTracy Kirkham

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