Faculty, Staff and Student Publications
Publication Date
8-3-2022
Journal
ELife
DOI
10.7554/eLife.78634
PMID
35921131
PMCID
PMC9348845
PubMedCentral® Posted Date
8-3-2022
PubMedCentral® Full Text Version
Post-print
Abstract
The median-effect equation has been widely used to describe the dose-response relationship and identify compounds that activate or inhibit specific disease targets in contemporary drug discovery. However, the experimental data often contain extreme responses, which may significantly impair the estimation accuracy and impede valid quantitative assessment in the standard estimation procedure. To improve the quantitative estimation of the dose-response relationship, we introduce a novel approach based on robust beta regression. Substantive simulation studies under various scenarios demonstrate solid evidence that the proposed approach consistently provides robust estimation for the median-effect equation, particularly when there are extreme outcome observations. Moreover, simulation studies illustrate that the proposed approach also provides a narrower confidence interval, suggesting a higher power in statistical testing. Finally, to efficiently and conveniently perform common lab data analyses, we develop a freely accessible web-based analytic tool to facilitate the quantitative implementation of the proposed approach for the scientific community.
Keywords
Computer Simulation, Shiny, cancer biology, dose-response, drug potency, none, quantitative tool, robust estimation, software
Published Open-Access
yes
Recommended Citation
Zhou, Shouhao; Liu, Xinyi; Fang, Xinying; et al., "Robust and Efficient Assessment of Potency (REAP) as a Quantitative Tool for Dose-Response Curve Estimation" (2022). Faculty, Staff and Student Publications. 4685.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/4685
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