Multi-endpoint Dose-response Modeling
Multi-Endpoint Dose-Response Modeling is a statistical modeling framework that characterizes the quantitative relationships between varying doses of a stressor and multiple distinct biological responses simultaneously, distinguishing itself from single-endpoint approaches by integrating correlated outcomes to improve inference accuracy and capture complex, system-level hormetic effects.
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2017–2026
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Walter Offen, Christy Chuang‐Stein, Alex Dmitrienko et al. · Drug Information Journal · 2007 · 125 citations · Full text
Andreas Zeller, Leilei Tang, Stephen D. Dertinger et al. · Mutagenesis · 2015 · 20 citations · Full text
Peng Huang, Shu‐Shen Liu, Zejun Wang et al. · The Science of The Total Environment · 2023 · 19 citations
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Eli Lilly (United States)
Indianapolis, United States
2 h-index
3 publications
265 citations

Biogen (United States)
Cambridge, United States
1 h-index
1 publications
125 citations
Roche (Switzerland)
Basel, Switzerland
1 h-index
5 publications
100 citations
Tongji University
Shanghai, China
1 h-index
5 publications
95 citations
Suzhou University of Science and Technology
Suzhou, China
1 h-index
1 publications
19 citations
Qiagen (Switzerland)
Hombrechtikon, Switzerland
1 h-index
1 publications
20 citations
The Ohio State University
Columbus, United States
1 h-index
2 publications
30 citations
Bayer (United States)
Whippany, United States
1 h-index
1 publications
125 citations
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1 publications · 21 citations
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1 publications · 19 citations
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1 publications · 15 citations
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1 publications · 20 citations
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DIA · 1 publications · 125 citations
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