Modeling uncertainty in the measurement of low-level analytes in environmental analysis

David M Rocke, Blythe Durbin, Machelle Wilson, Henry D. Kahn

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

The use of analytical chemistry measurements in environmental monitoring is dependent on an assessment of measurement error. Models for variation in measurements are needed to quantify uncertainty in measurements, set limits of detection, and preprocess data for more sophisticated analysis in prediction, classification, and clustering. This article explains how a two-component error model can be used to accomplish all of these objectives. In addition, we present applications to quantitating biomarkers of exposure to toxic substances using gene expression microarrays.

Original languageEnglish (US)
Pages (from-to)78-92
Number of pages15
JournalEcotoxicology and Environmental Safety
Volume56
Issue number1
DOIs
StatePublished - Sep 2003

ASJC Scopus subject areas

  • Environmental Chemistry
  • Environmental Science(all)

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