A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials-Reference-Cited by-同舟云学术

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A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials

Published:2020-04-13 Issue:6 Volume:62 Page:1408-1427
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Zheng Haiyan¹²^ORCID,Hampson Lisa V.³

Affiliation:

1. Biostatistics Research Group Population Health Sciences Institute Newcastle University Newcastle upon Tyne UK

2. Department of Mathematics and Statistics Lancaster University Lancaster UK

3. Advanced Methodology and Data Science Novartis Pharma AG Basel Switzerland

Funder

H2020 Marie Skłodowska-Curie Actions

Medical Research Council

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201900161

Reference37 articles.

1. Safety of medicines and the use of animals in research

2. A Limited Memory Algorithm for Bound Constrained Optimization

3. First-in-Human Trial Participants: Not a Vulnerable Population, but Vulnerable Nonetheless

4. Using power priors to improve the binomial test of water quality

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1. SFU: Surface-Free Utility-Based Design for Dose Optimization in Cancer Drug Combination Trials;Statistics in Biosciences;2024-04-07

2. Bayesian framework for multi-source data integration-Application to human extrapolation from preclinical studies;Statistical Methods in Medical Research;2024-03-06

3. A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method;Statistics in Medicine;2023-08-23

4. Bayesian sample size determination using commensurate priors to leverage preexperimental data;Biometrics;2022-03-28

5. A dose‐finding design for dual‐agent trials with patient‐specific doses for one agent with application to an opiate detoxification trial;Pharmaceutical Statistics;2021-12-10

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