Trajectory Group-based Modeling

Trajectory Group-Based Modeling is a statistical method used in criminology and developmental research that identifies distinct subpopulations of individuals following similar developmental trajectories of offending over time through the application of finite mixture models.

510

Publications

30.3K

Citations

2.7K

Authors

1K

Institutions

Publications per year

2017–2026

316

Variants

Group-based Trajectory Modeling

Authors

2.7K

  1. DS
    Daniel S. Nagin

    Carnegie Mellon University, United States

    25 publications · 10.3K citations

    24

    h-index

  2. RE
    Richard E. Tremblay

    Université de Montréal, Canada

    13 publications · 2.3K citations

    13

    h-index

  3. BL
    Bobby L. Jones

    University of Pittsburgh, United States

    10 publications · 2.8K citations

    10

    h-index

  4. SM
    Sylvana M. Côté

    Université de Montréal, Canada

    7 publications · 890 citations

    7

    h-index

  5. WG
    Wesley G. Jennings

    University of South Florida, United States

    7 publications · 501 citations

    7

    h-index

1–5 of 2.7K

Venues

  1. PLoS ONE

    18 publications · 596 citations

    16

    h-index

  2. BMC Geriatrics

    11 publications · 360 citations

    11

    h-index

  3. Crime & Delinquency

    10 publications · 349 citations

    10

    h-index

  4. Scientific Reports

    9 publications · 308 citations

    9

    h-index

  5. BMC Public Health

    8 publications · 266 citations

    8

    h-index

1–5