MULTIPLE-OBJECTIVE DESIGNS IN A DOSE-RESPONSE EXPERIMENT

DOI10.1081/BIP-100101009zbMath0953.62114OpenAlexW2030660051WikidataQ52123945 ScholiaQ52123945MaRDI QIDQ4512646

Wei Zhu, Weng Kee Wong

Publication date: 5 November 2000

Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/bip-100101009

zbMATH Keywords

logistic regression modelconstrained optimal designsBayesian optimal designscompound optimal designs

Mathematics Subject Classification ID

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

Related Items (8)

Cumulative entropy of progressively type-II censored order statistics and associated optimal life testing-plans ⋮ Some robust design strategies for percentile estimation in binary response models ⋮ Further Developments of the Fisher Information Matrix in Nonlinear Mixed Effects Models with Evaluation in Population Pharmacokinetics ⋮ Optimal dose‐finding for efficacy–safety models ⋮ Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives ⋮ Response-adaptive dose-finding under model uncertainty ⋮ Compound optimal designs for percentile estimation in dose-response models with restricted design intervals ⋮ A robust treatment of a dose–response study

Cites Work

• Optimal Bayesian design applied to logistic regression experiments
• Experimental Design for Binary Data
• Multiple-objective optimal designs
• A Measure of Tumorigenic Potency Incorporating Dose-Response Shape
• On the Equivalence of Constrained and Compound Optimal Designs
• The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems
• A New Perspective on Priors for Generalized Linear Models
• Constrained optimal designs for regressiom models

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