Bayesian hierarchical analysis for multiple health endpoints in a toxicity study

DOI10.1007/S13253-010-0019-5zbMath1306.62222OpenAlexW1971087978MaRDI QIDQ2260161

Mark J. Schervish, Mitchell J. Small, Ketra A. Schmitt, Taeryon Choi

Publication date: 5 March 2015

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

Full work available at URL: https://doi.org/10.1007/s13253-010-0019-5

zbMATH Keywords

logistic regressionMCMCmultivariate regressiondose-response studyhierarchical prior distributionoptimal design pointperchlorate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (4)

A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experiments ⋮ Bayesian hierarchical analysis for multiple health endpoints in a toxicity study ⋮ Bayesian quantile regression for hierarchical linear models ⋮ Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

Uses Software

• WinBUGS
• BayesDA
• BMDS

Cites Work

• Estimating the dimension of a model
• Inference from iterative simulation using multiple sequences
• Bayesian hierarchical analysis for multiple health endpoints in a toxicity study
• A Bayesian Approach to a Logistic Regression Model with Incomplete Information
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Bayesian hierarchical analysis for multiple health endpoints in a toxicity study