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A Bayesian phase 2 model based adaptive design to optimise antivenom dosing: Application to a dose-finding trial for a novel Russell's viper antivenom in Myanmar

Abstract:

For most antivenoms there is little information from clinical studies to infer the relationship between dose and efficacy or dose and toxicity. Antivenom dose-finding studies usually recruit too few patients (e.g. fewer than 20) relative to clinically significant event rates (e.g. 5%). Model based adaptive dose-finding studies make efficient use of accrued patient data by using information across dosing levels, and converge rapidly to the contextually defined 'optimal dose'. Adequate sample s...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pntd.0008109

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author
ORCID:
0000-0001-5524-0325
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author
ORCID:
0000-0001-6102-2981
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0001-7123-0004
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Author
ORCID:
0000-0001-7792-1615
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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Neglected Tropical Diseases Journal website
Volume:
14
Issue:
11
Article number:
e0008109
Place of publication:
United States
Publication date:
2020-11-16
Acceptance date:
2020-10-10
DOI:
EISSN:
1935-2735
ISSN:
1935-2727
Pmid:
33196672
Language:
English
Keywords:
Pubs id:
1146145
Local pid:
pubs:1146145
Deposit date:
2021-01-14

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