An evaluation of Bayesian designs for dose-escalation studies in healthy volunteersWhitehead, J., Zhou, Y., Mander, A., Ritchie, S., Sabin, A. and Wright, A. (2006) An evaluation of Bayesian designs for dose-escalation studies in healthy volunteers. Statistics in Medicine, 25 (3). pp. 433-445. ISSN 0277-6715 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1002/sim.2213 Abstract/SummaryIn this paper, Bayesian decision procedures previously proposed for dose-escalation studies in healthy volunteers are reviewed and evaluated. Modifications are made to the expression of the prior distribution in order to make the procedure simpler to implement and a more relevant criterion for optimality is introduced. The results of an extensive simulation exercise to establish the proper-ties of the procedure and to aid choice between designs are summarized, and the way in which readers can use simulation to choose a design for their own trials is described. The influence of the value of the within-subject correlation on the procedure is investigated and the use of a simple prior to reflect uncertainty about the correlation is explored. Copyright (c) 2005 John Wiley & Sons, Ltd.
Altmetric Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
