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A survey of laboratory and statistical issues related to farmworker exposure studies.

Authors
Barr-DB; Landsittel-D; Nishioka-M; Thomas-K; Curwin-B; Raymer-J; Donnelly-KC; McCauley-L; Ryan-PB
Source
Environ Health Perspect 2006 Jun; 114(6):961-968
NIOSHTIC No.
20030346
Abstract
Developing internally valid, and perhaps generalizable, farmworker exposure studies is a complex process that involves many statistical and laboratory considerations. Statistics are an integral component of each study beginning with the design stage and continuing to the final data analysis and interpretation. Similarly, data quality plays a significant role in the overall value of the study. Data quality can be derived from several experimental parameters including statistical design of the study and quality of environmental and biological analytical measurements. We discuss statistical and analytic issues that should be addressed in every farmworker study. These issues include study design and sample size determination, analytical methods and quality control and assurance, treatment of missing data or data below the method's limits of detection, and post-hoc analyses of data from multiple studies.
Keywords
Farmers; Agriculture; Agricultural-industry; Agricultural-workers; Occupational-exposure; Statistical-analysis; Analytical-methods; Biomarkers; Laboratory-testing; Laboratory-work; Quality-control; Sampling; Sampling-methods
Contact
D.B. Barr, CDC, 4770 Buford Hwy., Mailstop F17, Atlanta, GA 30341 USA
CODEN
EVHPAZ
Publication Date
20060601
Document Type
Journal Article
Email Address
dbarr@cdc.gov
Funding Type
Cooperative Agreement
Fiscal Year
2006
NTIS Accession No.
NTIS Price
Identifying No.
Cooperative-Agreement-Number-R13-ES/OH-013378
Issue of Publication
6
ISSN
0091-6765
NIOSH Division
DSHEFS
Source Name
Environmental Health Perspectives
State
PA; GA; OH; NC; TX
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