A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection

DOI10.1002/env.2193zbMath1525.62090OpenAlexW1897917295WikidataQ28395578 ScholiaQ28395578MaRDI QIDQ6069061

Thomas A. Arcury, Hai-Ying Chen, Unnamed Author, Sara A. Quandt

Publication date: 15 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc3596170

zbMATH Keywords

longitudinal dataGibbs samplermultiple imputationBayesianmultivariatelimit of detectionleft-censoringnon-detections

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Analysis of Contaminant Co-Occurrence in Community Water Systems

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