Vangelis Karalis on Muck Rack

Vangelis Karalis

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As seen in: Wiley Online Library, Frontiers, MDPI
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Articles

Vector‐Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach

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By Maria Kokkali, Vangelis Karalis
| Wiley Online Library Verified
1 Introduction The inclusion of multiple often interrelated endpoints in clinical trials, can lead to challenges in data analysis and interpretation. Interrelated endpoints may introduce redundancy, complicating statistical analyses, and risking inflated type I errors (false positives) due to multiplicity (Dmitrienko and D'Agostino 2018).
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Average Slope vs. Cmax: Which Truly Reflects the Drug-Absorption Rate?

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By Vangelis Karalis, Maria Kokkali
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A Vector Theory of Assessing Clinical Trials: An Application to Bioequivalence

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By Vangelis Karalis
| MDPI
1. Introduction Clinical trials serve as the gold standard of experiments in the medical field, strictly designed to validate the safety, efficacy, and potential benefits of various clinical interventions [1,2]. These trials are structured investigations conducted in carefully controlled settings.
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