Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

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

Authors
Krishnamoorthy-K; Guo-H
Source
J Stat Plann Inference 2005 Jan; 128(1):219-229
NIOSHTIC No.
20026062
Abstract
This article considers a one-way random effects model for assessing the proportion of workers whose mean exposures exceed the occupational exposure limit based on exposure measurements from a random sample of workers. Hypothesis testing and interval estimation for the relevant parameter of interest are proposed when the exposure data are unbalanced. The methods are based on the generalized p-value approach, and simplify to the ones in Krishnamoorthy and Mathews (J. Agri. Biol. Environ. Statist. 7 (2002) 440) when the data are balanced. The sizes and powers of the test are evaluated numerically. The numerical studies show that the proposed inferential procedures are satisfactory even for small samples. The results are illustrated using practical examples.
Keywords
Statistical-analysis; Epidemiology; Exposure-assessment; Risk-analysis; Models; Mathematical-models
Contact
K. Krishnamoorthy, Department of Mathematics University of Louisiana at Lafayette Lafayette, LA 70504
CODEN
JSPIDN
Publication Date
20050115
Document Type
Journal Article
Email Address
krishna@louisiana.edu
Funding Amount
400453
Funding Type
Grant
Fiscal Year
2005
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-003628
Issue of Publication
1
ISSN
0378-3758
Priority Area
Research Tools and Approaches: Exposure Assessment Methods
Source Name
Journal of Statistical Planning and Inference
State
MD; LA
Performing Organization
University of Maryland, Baltimore
TOP