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A Survey of Laboratory and Statistical Issues Related to Farmworker Exposure Studies

Authors
  • Dana B. Barr
  • Doug Landsittel
  • Marcia Nishioka
  • Kent Thomas
  • Brian Curwin
  • James Raymer
  • Kirby C. Donnelly
  • Linda McCauley
  • P. Barry Ryan
Publisher
National Institute of Environmental Health Sciences
Publication Date
Feb 16, 2006
Source
PMC
Keywords
Disciplines
  • Biology
  • Design
  • Ecology
  • Geography
License
Unknown

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.

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