Abstract
In clinical trials, the conventional power calculation approach for determining the required sample size cannot control the inter-subject variability. Consequently, it may underestimate the treatment effect and/or overestimate the population variance for a specific subpopulation such as the enriched population in precision medicine clinical trials. In this article, we propose an optimization power calculation approach for computing the required sample size for precision medicine clinical trials by controlling variability and maintaining the desired treatment at the same time. The proposed power calculation approach cannot only provide a smaller and more precise sample size for achieving the primary objective of the intended trial but also have a sketched idea regarding how many subjects will be accrued for achieving the secondary objectives.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Biomedical Science & Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
