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A Tutorial on Modern Bayesian Methods in Clinical Trials
Clinical trials continue to be the gold standard for evaluating new medical technologies. New advancements in modern computation power have led to increasing interest in Bayesian methods. Despite the multiple benefits of Bayesian approaches, application to clinical trials has been limited. Based on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117244/ https://www.ncbi.nlm.nih.gov/pubmed/37081374 http://dx.doi.org/10.1007/s43441-023-00515-3 |
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author | Muehlemann, Natalia Zhou, Tianjian Mukherjee, Rajat Hossain, Munshi Imran Roychoudhury, Satrajit Russek-Cohen, Estelle |
author_facet | Muehlemann, Natalia Zhou, Tianjian Mukherjee, Rajat Hossain, Munshi Imran Roychoudhury, Satrajit Russek-Cohen, Estelle |
author_sort | Muehlemann, Natalia |
collection | PubMed |
description | Clinical trials continue to be the gold standard for evaluating new medical technologies. New advancements in modern computation power have led to increasing interest in Bayesian methods. Despite the multiple benefits of Bayesian approaches, application to clinical trials has been limited. Based on insights from the survey of clinical researchers in drug development conducted by the Drug Information Association Bayesian Scientific Working Group (DIA BSWG), insufficient knowledge of Bayesian approaches was ranked as the most important perceived barrier to implementing Bayesian methods. Results of the same survey indicate that clinical researchers may find the interpretation of results from a Bayesian analysis to be more useful than conventional interpretations. In this article, we illustrate key concepts tied to Bayesian methods, starting with familiar concepts widely used in clinical practice before advancing in complexity, and use practical illustrations from clinical development. |
format | Online Article Text |
id | pubmed-10117244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-101172442023-04-25 A Tutorial on Modern Bayesian Methods in Clinical Trials Muehlemann, Natalia Zhou, Tianjian Mukherjee, Rajat Hossain, Munshi Imran Roychoudhury, Satrajit Russek-Cohen, Estelle Ther Innov Regul Sci Educational Review Clinical trials continue to be the gold standard for evaluating new medical technologies. New advancements in modern computation power have led to increasing interest in Bayesian methods. Despite the multiple benefits of Bayesian approaches, application to clinical trials has been limited. Based on insights from the survey of clinical researchers in drug development conducted by the Drug Information Association Bayesian Scientific Working Group (DIA BSWG), insufficient knowledge of Bayesian approaches was ranked as the most important perceived barrier to implementing Bayesian methods. Results of the same survey indicate that clinical researchers may find the interpretation of results from a Bayesian analysis to be more useful than conventional interpretations. In this article, we illustrate key concepts tied to Bayesian methods, starting with familiar concepts widely used in clinical practice before advancing in complexity, and use practical illustrations from clinical development. Springer International Publishing 2023-04-20 2023 /pmc/articles/PMC10117244/ /pubmed/37081374 http://dx.doi.org/10.1007/s43441-023-00515-3 Text en © The Author(s), under exclusive licence to The Drug Information Association, Inc 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Educational Review Muehlemann, Natalia Zhou, Tianjian Mukherjee, Rajat Hossain, Munshi Imran Roychoudhury, Satrajit Russek-Cohen, Estelle A Tutorial on Modern Bayesian Methods in Clinical Trials |
title | A Tutorial on Modern Bayesian Methods in Clinical Trials |
title_full | A Tutorial on Modern Bayesian Methods in Clinical Trials |
title_fullStr | A Tutorial on Modern Bayesian Methods in Clinical Trials |
title_full_unstemmed | A Tutorial on Modern Bayesian Methods in Clinical Trials |
title_short | A Tutorial on Modern Bayesian Methods in Clinical Trials |
title_sort | tutorial on modern bayesian methods in clinical trials |
topic | Educational Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117244/ https://www.ncbi.nlm.nih.gov/pubmed/37081374 http://dx.doi.org/10.1007/s43441-023-00515-3 |
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