Quantile-based Mixture Analysis
Quantile-Based Mixture Analysis is a statistical modeling framework that integrates quantile regression techniques with mixture distribution theory to characterize heterogeneous dose-response relationships by estimating distinct response subpopulations defined across conditional quantiles of the outcome distribution.
21
Publications
2.4K
Citations
89
Authors
44
Institutions
Publications per year
2017–2026
15
21
Lagged WQS regression for mixtures with many components
Chris Gennings, Paul Curtin, Ghalib Bello et al. · Environmental Research · 2020 · 70 citations · Full text
Pharmacy, Biostatistics, Toxicology +17
1–5 of 21
89
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h-index
National Institute of Environmental Health Sciences, United States
2 publications · 1.7K citations
2
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National Institute of Environmental Health Sciences, United States
2 publications · 1.7K citations
2
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University of North Carolina at Chapel Hill, United States
2 publications · 1.7K citations
2
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2
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1–5 of 89
44

Icahn School of Medicine at Mount Sinai
New York, United States
4 h-index
16 publications
774 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
7 publications
1.7K citations
National Institute of Environmental Health Sciences
Durham, United States
3 h-index
11 publications
8.3K citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
1.7K citations
New York University
New York, United States
2 h-index
2 publications
41 citations
National Institutes of Health
Bethesda, United States
2 h-index
10 publications
8.3K citations

Polish Academy of Sciences
Warsaw, Poland
1 h-index
3 publications
42 citations

Seattle Children's Hospital
Seattle, United States
1 h-index
2 publications
64 citations
1–8 of 44
EHP · 2 publications · 1.7K citations
2
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2 publications · 130 citations
2
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1 publications · 33 citations
1
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Repository · 1 publications · 13 citations
1
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1 publications · 75 citations
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