The methods developed by Rappaport et al. [Ann. Occup. Hyg. 39 (1995) 469]
and Lyles et al. [J. Agri. Bio. Environ. Stat. 2 (1997a) 64; Ann. Occup. Hy
g. 41 (1997b) 63]) for assessing workplace exposures on a group-by-group ba
sis are extended to allow for the simultaneous assessment of data from mult
iple worker groups within the same industry. These extended methods allow m
odels to be fit simultaneously to data on all groups in a study, even when
some of the groups might not contribute adequate information to be modeled
separately. We assume that the exposures are log-normally distributed, and
that they can be adequately modeled by a mixed effects regression model wit
h parameters for exposure levels and for between- and within-worker varianc
e components. Simultaneously analyzing data from multiple groups is only ad
vantageous when at least one of these variance components can be assumed to
be homogeneous across the groups. Here, we advocate testing an assumption
of homogeneous within-worker variance components, sigma (2)(w,h) using a li
kelihood ratio test to choose between a full model (distinct sigma (2)(w,h)
for each group) and a reduced model (common sigma (2)(w) across groups). W
e then develop a procedure, which is conditional on the results of the like
lihood ratio test, for testing whether or not each group of workers is over
exposed to the contaminant of Interest. This modeling and testing procedure
was applied to 39 different data sets, each containing data for multiple g
roups, from a wide variety of industries. For these data, the testing proce
dure generally resulted in the same conclusion regarding overexposure under
both models, even in those data sets where the within-worker variance comp
onents appeared to be quite heterogeneous. We also conducted a small simula
tion study to estimate the significance level of the proposed testing proce
dure, and found that the significance levels tended to be adequately close
to the specified nominal level when a likelihood ratio test with significan
ce level of at least 0.01 was used as a preliminary test. Additionally, we
make specific recommendations for designing studies and suggest a method fo
r determining whether engineering and administrative controls or individual
-level interventions would be of most benefit to an overexposed group of wo
rkers. Crown Copyright (C) 2001 Published by Elsevier Science Ltd on behalf
of British Occupational Hygiene Society. All rights reserved.