Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field

Oleksandr Sverdlov, Yevgen Ryeznik, Weng Kee Wong

研究成果: Review article同行評審

8 引文 斯高帕斯(Scopus)

摘要

Modern data analysis tools and statistical modeling techniques are increasingly used in clinical research to improve diagnosis, estimate disease progression and predict treatment outcomes. What seems less emphasized is the importance of the study design, which can have a serious impact on the study cost, time and statistical efficiency. This paper provides an overview of different types of adaptive designs in clinical trials and their applications to cardiovascular trials. We highlight recent proliferation of work on adaptive designs over the past two decades, including some recent regulatory guidelines on complex trial designs and master protocols. We also describe the increasing role of machine learning and use of metaheuristics to construct increasingly complex adaptive designs or to identify interesting features for improved predictions and classifications.

原文English
文章編號106397
期刊Contemporary Clinical Trials
105
DOIs
出版狀態Published - 2021 6月

All Science Journal Classification (ASJC) codes

  • 藥學(醫學)

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