Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy

Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy

Surrogate endpoints have been used to assess the efficacy of a treatment and can potentially reduce the duration and/or number of required patients for clinical trials. Using information theory, Alonso et al. (2007) proposed a unified framework based on Shannon entropy, a new definition of surrogacy...

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Bibliographic Details
Main Authors: María del Carmen Pardo, Qian Zhao, Hua Jin, Ying Lu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
surrogate endpoint
information theory
Havrda and Charvat entropy
mutual information
clinical trial design
Online Access:https://www.mdpi.com/2227-7390/10/3/465

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