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Assessing occupational exposure via the one-way random effects model with balanced data.

Authors
Krishnamoorthy-K; Mathew-T
Source
J Agric Biol Environ Stat 2002 Sep; 7(3):440-451
NIOSHTIC No.
20026063
Abstract
A one-way random effects model is considered for the log-transformed shift-long personal exposure measurements, where the random effect in the model represents an effect due to the worker. Following a previous approach, we address a hypothesis-testing problem involving the proportion of workers for whom the mean exposure exceeds the occupational exposure limit. A confidence interval is constructed for the relevant parameter of interest, following the idea of a previously presented generalized confidence interval. The confidence 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 satisfactory performance 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.
Keywords
Statistical-analysis; Epidemiology; Exposure-assessment; Risk-analysis; Models; Mathematical-models
Contact
T. Mathew, Department of Mathematics and Statistics University of Maryland Baltimore, MD 21250
Publication Date
20020901
Document Type
Journal Article
Email Address
mathew@math.umbc.edu
Funding Amount
400453
Funding Type
Grant
Fiscal Year
2002
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-003628
Issue of Publication
3
ISSN
1085-7117
Priority Area
Research Tools and Approaches: Exposure Assessment Methods
Source Name
Journal of Agricultural, Biological, and Environmental Statistics
State
MD; LA
Performing Organization
University of Maryland, Baltimore
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