Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/115562
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Type: | Journal article |
Title: | Designing group dose-response studies in the presence of transmission |
Author: | Price, D.J. Bean, N.G. Ross, J.V. Tuke, J. |
Citation: | Mathematical Biosciences, 2018; 304:62-78 |
Publisher: | Elsevier |
Issue Date: | 2018 |
ISSN: | 0025-5564 1879-3134 |
Statement of Responsibility: | 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 |
Grant ID: | http://purl.org/au-research/grants/arc/FT130100254 NHMRC |
Published version: | http://dx.doi.org/10.1016/j.mbs.2018.07.007 |
Appears in Collections: | Aurora harvest 8 Mathematical Sciences publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_115562.pdf | Accepted version | 3.85 MB | Adobe PDF | View/Open |
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