MULTIPLE-OBJECTIVE DESIGNS IN A DOSE-RESPONSE EXPERIMENT
作者:
Wei Zhu,
WengKee Wong*,
期刊:
Journal of Biopharmaceutical Statistics
(Taylor Available online 2000)
卷期:
Volume 10,
issue 1
页码: 1-14
ISSN:1054-3406
年代: 2000
DOI:10.1081/BIP-100101009
出版商: Taylor & Francis Group
关键词: Bayesian optimal design;Compound optimal design;Constrained optimal design;Efficiency plot;Logistic regression model
数据来源: Taylor
摘要:
This article is an extension of the work of Huang and Wong [1], who found dual-objective designs for models with a continuous outcome. We consider quantal dose-response experiments with a binary outcome and develop multiple-objective designs for two or more Bayesian optimality criteria. Using the logit model as an illustrative example, we construct numerically optimal designs for estimating model parameters and percentiles, with possibly unequal interest in each of the objectives. We also show that the popular equal dosage assignment rule can be a rather inefficient design for estimating model parameters under a Bayesian setup.
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