Impact of using time-averaged exposure metrics on binary endpoints in exposure-response analyses

Impact of using time-averaged exposure metrics on binary endpoints in exposure-response analyses

Exposure-response (ER) analyses are routinely performed as part of model-informed drug development to evaluate the risk-to-benefit ratio for dose selection, justification, and confirmation. For logistic regression analyses with binary endpoints, several exposure metrics are investigated, based on ph...

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Bibliographic Details
Main Authors: Yu-Wei Lin, Anna Largajolli, A. Yin Edwards, S. Y. Amy Cheung, Kashyap Patel, Stefanie Hennig
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Pharmacology
Subjects:
drug development
exposure-response analysis
exposure metrics
pharmacometrics
logistic regression
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1487062/full
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https://www.frontiersin.org/articles/10.3389/fphar.2024.1487062/full

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