Population-specific Regression Formulae

Population-Specific Regression Formulae is a statistical methodology used in stature estimation that consists of regression equations derived from anthropometric data of a particular population, distinguished by its customization to account for unique genetic, geographic, and environmental factors influencing skeletal or body proportions within that defined group.

122

Publications

8.7K

Citations

421

Authors

212

Institutions

Publications per year

2017–2026

17

Authors

421

  1. AT
    Andrew Tuck

    Centre for Addiction and Mental Health, Canada

    3 publications · 88 citations

    3

    h-index

  2. JA
    John Albanese

    University of Windsor, Canada

    3 publications · 88 citations

    3

    h-index

  3. PW
    Paul W. Sciulli

    The Ohio State University, United States

    3 publications · 146 citations

    3

    h-index

  4. TN
    T. Nataraja Moorthy

    Hospital Universiti Sains Malaysia, Malaysia

    2 publications · 57 citations

    2

    h-index

  5. GV
    Giuseppe Vercellotti

    The Ohio State University, United States

    2 publications · 119 citations

    2

    h-index

1–5 of 421

Venues

  1. American Journal of Physical Anthropology

    8 publications · 604 citations

    8

    h-index

  2. PubMed

    Repository · 8 publications · 165 citations

    8

    h-index

  3. Journal of Forensic Sciences

    JOFS · 6 publications · 395 citations

    6

    h-index

  4. Annals of Human Biology

    4 publications · 357 citations

    4

    h-index

  5. Forensic Science International

    4 publications · 112 citations

    4

    h-index

1–5