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

Authors

89

  1. CG
    Chris Gennings

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 231 citations

    4

    h-index

  2. KM
    Katie M. O’Brien

    National Institute of Environmental Health Sciences, United States

    2 publications · 1.7K citations

    2

    h-index

  3. AJ
    Alexandra J. White

    National Institute of Environmental Health Sciences, United States

    2 publications · 1.7K citations

    2

    h-index

  4. AP
    Alexander P. Keil

    University of North Carolina at Chapel Hill, United States

    2 publications · 1.7K citations

    2

    h-index

  5. PC
    Paul Curtin

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 137 citations

    2

    h-index

1–5 of 89

Venues

  1. Environmental Health Perspectives

    EHP · 2 publications · 1.7K citations

    2

    h-index

  2. 2

    h-index

  3. Biometrical Journal

    1 publications · 33 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5