Simulation-based Model Testing

Simulation-Based Model Testing is a methodological approach within phylogenetic comparative methods that uses artificially generated datasets under known evolutionary models to evaluate the statistical performance, accuracy, and robustness of phylogenetic models or inference procedures.

73

Publications

4.1K

Citations

300

Authors

150

Institutions

Publications per year

2017–2026

34

Authors

300

  1. AW
    Allan W. Dickerman

    Virginia Tech, United States

    2 publications · 1.4K citations

    2

    h-index

  2. BE
    Buse Eylul Oruc

    Emory University, United States

    2 publications · 84 citations

    2

    h-index

  3. CL
    Charles L. Nunn

    Duke University, United States

    2 publications · 456 citations

    2

    h-index

  4. PK
    Pınar Keskinocak

    Georgia Institute of Technology, United States

    2 publications · 84 citations

    2

    h-index

  5. TG
    Theodore Garland

    University of California, Riverside, United States

    2 publications · 1.4K citations

    2

    h-index

1–5 of 300

Venues

  1. Systematic Biology

    4 publications · 1.5K citations

    4

    h-index

  2. Methods in Ecology and Evolution

    3 publications · 90 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 100 citations

    3

    h-index

  4. 2

    h-index

  5. Behavioral Ecology

    1 publications · 91 citations

    1

    h-index

1–5