Bayesian design of experiment for quantal responses: What is promised versus what is delivered

DOI10.1016/0378-3758(95)00120-4zbMath0877.62073OpenAlexW2048374674MaRDI QIDQ1918447

Robert K. Tsutakawa, Wang-Shu Lu, Dongchu Sun

Publication date: 14 December 1997

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(95)00120-4

zbMATH Keywords

logistic distributionMonte Carlo integrationposterior varianceLD50

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Bayesian inference (62F15)

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Design issues for generalized linear models: a review ⋮ Modified D-optimal design for logistic model

Cites Work

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• Optimal Bayesian design applied to logistic regression experiments
• Extended Models for Quantal Response Data
• Selection of Dose Levels for Estimating a Percentage Point of a Logistic Quantal Response Curve
• Experimental Design for Binary Data
• Optimum Experimental Designs for Properties of a Compartmental Model
• Design of Experiment for Bioassay