Assessing assay variability of pesticide metabolites in the presence of heavy left-censoring

DOI10.1007/s13253-015-0196-3zbMath1325.62209OpenAlexW2093210265WikidataQ35646977 ScholiaQ35646977MaRDI QIDQ894835

Thomas A. Arcury, Dana Boyd Barr, Sara A. Quandt, Hai-Ying Chen

Publication date: 24 November 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4443874

zbMATH Keywords

mixture distributioncoefficient of variationlimit of detectionminimum detectable changeprobability of \(k\)-fold difference

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Censored data models (62N01)

Uses Software

• NADA

Cites Work

• Unnamed Item
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• Analysis of left-censored longitudinal data with application to viral load in HIV infection

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