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Easy-to-implement Bayesian methods for dose-escalation studies in healthy volunteers.

Whitehead, John and Patterson, Scott and Webber, Dawn and Zhou, Yinghui (2001) Easy-to-implement Bayesian methods for dose-escalation studies in healthy volunteers. Biostatistics, 2 (1). pp. 47-61. ISSN 1468-4357

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Abstract

In phase I clinical trials, experimental drugs are administered to healthy volunteers in order to establish their safety and to explore the relationship between the dose taken and the concentration found in plasma. Each volunteer receives a series of increasing single doses. In this paper a Bayesian decision procedure is developed for choosing the doses to give in the next round of the study, taking into account both prior information and the responses observed so far. The procedure seeks the optimal doses for learning about the dose–concentration relationship, subject to a constraint which reduces the risk of administering dangerously high doses. Individual volunteers receive more than one dose, and the pharmacokinetic responses observed are, after logarithmic transformation, treated as approximately normally distributed. Thus data analysis can be achieved by fitting linear mixed models. By expressing prior information as ‘pseudo-data’, and by maximizing over posterior distributions rather than taking expectations, a procedure which can be implemented using standard mixed model software is derived. Comparisons are made with existing approaches to the conduct of these studies, and the new method is illustrated using real and simulated data.

Item Type: Article
Journal or Publication Title: Biostatistics
Additional Information: RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research
Uncontrolled Keywords: Bayesian decision procedure ; Dose-escalation ; First-into-man ; Pharmacokinetics ; Phase I trial.
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 2458
Deposited By: ep_importer
Deposited On: 29 Mar 2008 12:21
Refereed?: Yes
Published?: Published
Last Modified: 09 Oct 2013 14:49
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/2458

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