Assessing Occupational Exposure Via the One-Way Random Effects Model With Balanced Data
نویسندگان
چکیده
A one-way randomeffectsmodel is consideredfor the log-transformedshift-longpersonal exposure measurements, where the random effect in the model represents an effect due to the worker. Following a previousapproach,we address a hypothesis-testingproblem involving the proportionof workers for whom the mean exposure exceeds the occupational exposure limit. A con dence interval is constructed for the relevant parameter of interest, followingthe idea of a previouslypresentedgeneralizedcon dence interval.The con dence bound is used for the purpose of testing hypotheses, and the performance of the test is numerically investigated. It turns out that the test exhibits satisfactoryperformance regardless of the sample size, in particular,for small samples.A similar procedure is then employed for testing hypotheses concerning the overall mean exposure. The results are illustrated using examples.
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