Modeling uncertainty in the measurement of low-level analytes in environmental analysis
David M. Rocke,a, Blythe Durbin,a Machelle Wilson,a and Henry D. Kahnb
a Department of Applied Science and Division of Biostatistics, University of California, Davis, CA 95616, USA b US Environmental Protection Agency, USA Received 19 March 2003; accepted 19 March 2003
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.
SREL Reprint #2727
Rocke, D. M., B. Durbin, M. Wilson and H. D. Kahn. 2003. Modeling uncertainty in the measurement of low-level analytes in environmental analysis. Ecotoxicology and Environmental Safety 56:78-92.
