A hierarchical modeling approach for risk assessment in developmental toxicity studies

DOI10.1016/j.csda.2005.12.002zbMath1157.62533OpenAlexW2072033918WikidataQ61786666 ScholiaQ61786666MaRDI QIDQ1010535

Christel Faes, Marc Aerts, Geert Molenberghs, Helena Geys

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.12.002

zbMATH Keywords

hierarchical modelBayesian methodstoxicologybenchmark dose

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Risk assessment for toxicity experiments with discrete and continuous outcomes: a Bayesian nonparametric approach, Estimating negative variance components from Gaussian and non-Gaussian data: a mixed models approach, A Hierarchical Model for the Skew-normal Distribution with Application in Developmental Neurotoxicology, Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

Uses Software

• BayesDA

Cites Work

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