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Gaining acceptability for the Bayesian decision-theoretic approach in dose-escalation studies

Zhou, Y. and Lucini, M. (2005) Gaining acceptability for the Bayesian decision-theoretic approach in dose-escalation studies. Pharmaceutical Statistics, 4 (3). pp. 161-171. ISSN 1539-1612

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To link to this item DOI: 10.1002/pst.172

Abstract/Summary

There has recently been increasing demand for better designs to conduct first-into-man dose-escalation studies more efficiently, more accurately and more quickly. The authors look into the Bayesian decision-theoretic approach and use simulation as a tool to investigate the impact of compromises with conventional practice that might make the procedures more acceptable for implementation. Copyright © 2005 John Wiley & Sons, Ltd.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Applied Statistics
ID Code:9428
Uncontrolled Keywords:first-into-man , optimal design , Bayesian decision-theoretic approach , dose-level skipping

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