title: Implementation of a Bayesian design in a dose-escalation study of an experimental agent in healthy volunteers.
abstract: Bayesian decision procedures have recently been developed for dose escalation in phase I clinical trials concerning pharmacokinetic responses observed in healthy volunteers. This article describes how that general methodology was extended and evaluated for implementation in a specific phase I trial of a novel compound. At the time of writing, the study is ongoing, and it will be some time before the sponsor will wish to put the results into the public domain. This article is an account of how the study was designed in a way that should prove to be safe, accurate, and efficient whatever the true nature of the compound. The study involves the observation of two pharmacokinetic endpoints relating to the plasma concentration of the compound itself and of a metabolite as well as a safety endpoint relating to the occurrence of adverse events. Construction of the design and its evaluation via simulation are presented.
authors.affiliation: Medical and Pharmaceutical Statistics Research Unit, The University of Reading, Earley Gate, Reading RG6 6FN, U.K. y.zhou@reading.ac.uk
authors.forename: Yinghui
authors.initials: Y
authors.lastname: Zhou
authors.forename: John
authors.initials: J
authors.lastname: Whitehead
authors.forename: Pasi
authors.initials: P
authors.lastname: Korhonen
authors.forename: Mika
authors.initials: M
authors.lastname: Mustonen
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D017321:Clinical Trials, Phase I as Topic / Q000379:methods*; D003661:Decision Support Techniques; D004305:Dose-Response Relationship, Drug; D023381:Endpoint Determination; D012016:Reference Values; D012106:Research