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 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.
Altmetric Badge
| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/9428 |
| Identification Number/DOI | 10.1002/pst.172 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Applied Statistics |
| Uncontrolled Keywords | first-into-man , optimal design , Bayesian decision-theoretic approach , dose-level skipping |
| Download/View statistics | View download statistics for this item |
University Staff: Request a correction | Centaur Editors: Update this record
Download
Download