Bayesian hierarchical model for dose-finding trial incorporating historical data-Reference-Cited by-同舟云学术

Bayesian hierarchical model for dose-finding trial incorporating historical data

Published:2023-09-07 Issue: Volume: Page:1-15
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Han Linxi¹,Deng Qiqi²,He Zhangyi³,Fleischer Frank⁴,Yu Feng¹

Affiliation:

1. School of Mathematics, University of Bristol, Bristol, UK

2. Biostatistics and Data Sciences, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA

3. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK

4. Biostatistics+Data Sciences Corp, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany

Funder

no funding

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2023.2251578

Reference19 articles.

1. Bayesian clinical trials

2. The use of the area under the ROC curve in the evaluation of machine learning algorithms

3. Combining Multiple Comparisons and Modeling Techniques in Dose-Response Studies

4. A Bayesian basket trial design using a calibrated Bayesian hierarchical model

5. European Medicines Agency (2014). Qualification opinion of MCP-Mod as an efficient statistical methodology for model-based design and analysis of Phase II dose finding studies under model uncertainty. https://www.ema.europa.eu/en/documents/regulatory-procedural-guideline/qualification-opinion-mcp-mod-efficient-statistical-methodology-model-based-design-analysis-phase-ii_en.pdf.

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