A dose-finding design for phase I clinical trials based on Bayesian stochastic approximation
A dose-finding design for phase I clinical trials based on Bayesian stochastic approximation
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Author / Creator
Xu, Jin , Zhang, Dapeng and Mu, Rongji
Publisher
London: BioMed Central Ltd
Journal title
Language
English
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Publisher
London: BioMed Central Ltd
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Contents
Background Current dose-finding designs for phase I clinical trials can correctly select the MTD in a range of 30-80% depending on various conditions based on a sample of 30 subjects. However, there is still an unmet need for efficiency and cost saving. Methods We propose a novel dose-finding design based on Bayesian stochastic approximation. The d...
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Full title
A dose-finding design for phase I clinical trials based on Bayesian stochastic approximation
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TN_cdi_doaj_primary_oai_doaj_org_article_1b741caa0f3f47cf9906b953231ec886
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b741caa0f3f47cf9906b953231ec886
Other Identifiers
ISSN
1471-2288
E-ISSN
1471-2288
DOI
10.1186/s12874-022-01741-3
