Multivariate Segmentation Models

Multivariate Segmentation Models is a statistical modeling framework that partitions populations into distinct risk-based subgroups by simultaneously analyzing multiple predictor variables, distinguishing it from univariate or bivariate approaches through its integrative assessment of interdependent risk factors.

17

Publications

1.4K

Citations

77

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

77

  1. JN
    J.C. Noordam

    Radboud University Nijmegen, Netherlands

    2 publications · 117 citations

    2

    h-index

  2. WV
    W.H.A.M. van den Broek

    Radboud University Nijmegen, Netherlands

    2 publications · 117 citations

    2

    h-index

  3. FD
    Frank D. Gilliland

    University of Southern California, United States

    1 publications · 40 citations

    1

    h-index

  4. BE
    Binu Enchakalody

    University of Michigan, United States

    1 publications · 15 citations

    1

    h-index

  5. MG
    Mohammed Goryawala

    Florida International University, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 77

Venues

  1. European Society for Fuzzy Logic and Technology Conference

    Conference · 1 publications · 10 citations

    1

    h-index

  2. International Journal of Tourism Research

    1 publications · 39 citations

    1

    h-index

  3. BMC Medical Genetics

    1 publications · 15 citations

    1

    h-index

  4. Tunnelling and Underground Space Technology

    1 publications · 45 citations

    1

    h-index

  5. Journal of Chemometrics

    1 publications · 38 citations

    1

    h-index

1–5