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Type: Journal article
Title: Designing group dose-response studies in the presence of transmission
Author: Price, D.
Bean, N.
Ross, J.
Tuke, J.
Citation: Mathematical Biosciences, 2018; 304:62-78
Publisher: Elsevier
Issue Date: 2018
ISSN: 0025-5564
Statement of
David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke
Abstract: Dose-response studies are used throughout pharmacology, toxicology and in clinical research to determine safe, effective, or hazardous doses of a substance. When involving animals, the subjects are often housed in groups; this is in fact mandatory in many countries for social animals, on ethical grounds. An issue that may consequently arise is that of unregulated between-subject dosing (transmission), where a subject may transmit the substance to another subject. Transmission will obviously impact the assessment of the dose-response relationship, and will lead to biases if not properly modelled. Here we present a method for determining the optimal design – pertaining to the size of groups, the doses, and the killing times – for such group dose-response experiments, in a Bayesian framework. Our results are of importance to minimising the number of animals required in order to accurately determine dose-response relationships. Furthermore, we additionally consider scenarios in which the estimation of the amount of transmission is also of interest. A particular motivating example is that of Campylobacter jejuni in chickens. Code is provided so that practitioners may determine the optimal design for their own studies.
Keywords: Bayesian optimal experimental design
Dose-response experiments
Markov chains
Epidemic model
Description: Available online 25 July 2018
Rights: © 2018 Elsevier Inc. All rights reserved.
DOI: 10.1016/j.mbs.2018.07.007
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Mathematical Sciences publications

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