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Statistical Issues in sampling for compliance to exposure standards.

Authors
Symons-MJ; Flynn-MR; Rapport-SM; Truong-KN
Source
Department of Biostatistics, School of Public Health, University of North Carolina, Chapel Hill, North Carolina 1996 Jan; :1-36
Link
NIOSHTIC No.
00232295
Abstract
Statistical approaches for analysis of data from the limited number of samples collected by an industrial hygienist for checking compliance to an occupational standard were considered. Sampling for compliance usually has been guided by judgment selection, rather than true randomness, resulting in the creation of compliance samples which approximate a censored sample from the upper tail of the exposure distribution. A graphical based idea was developed, which appears useful with small numbers of compliance samples which are typically collected, less than ten. Assuming lognormality of the workplace exposures, considered as common with time weighted averages over hours of collection, and assuming the industrial hygienist has the ability to select the greatest and the least exposures, one is able to sketch a lognormal probability paper based inference scheme. Simple linear regression analysis provides an estimation of the median, the variance among jobs, and a subtotal of variance components. These variance components could include worker differences, variability in occasions from day to day sampling, and measurement error. Incorporating historical data will be necessary due to the few samples which are available from a compliance survey.
Keywords
NIOSH-Grant; Grants-other; Workplace-studies; Industrial-hygiene; Sampling-methods; Statistical-analysis
Contact
Biostatistics University of North Carolina Chapel Hill, NC 27599-7400
Publication Date
19960101
Document Type
Final Grant Report
Funding Amount
139138
Funding Type
Grant
Fiscal Year
1996
NTIS Accession No.
PB97-113682
NTIS Price
A04
Identifying No.
Grant-Number-R18-OH-03073
NIOSH Division
OEP
Priority Area
Other Occupational Concerns; Grants-other
Source Name
Department of Biostatistics, School of Public Health, University of North Carolina, Chapel Hill, North Carolina
State
NC
Performing Organization
University of North Carolina Chapel Hill, Chapel Hill, North Carolina
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