Individual-level Simulation

Individual-Level Simulation is a type of microsimulation modeling approach within decision-analytic modeling that projects outcomes for individual hypothetical subjects through time by applying probabilistic transitions based on modeled parameters, thereby distinguishing it from aggregate-level simulation methods that operate on population averages.

227

Publications

12.3K

Citations

726

Authors

362

Institutions

Publications per year

2017–2026

51

Variants

Individual-based Simulation

Authors

726

  1. AP
    Andrew Phillips

    University College London, United Kingdom

    5 publications · 449 citations

    5

    h-index

  2. FN
    Fumiyo Nakagawa

    University College London, United Kingdom

    5 publications · 449 citations

    5

    h-index

  3. VC
    Valentina Cambiano

    University College London, United Kingdom

    5 publications · 449 citations

    5

    h-index

  4. JL
    Jens Lundgren

    University of Copenhagen, Denmark

    4 publications · 323 citations

    4

    h-index

  5. JA
    Jeffrey A. Tyler

    NOAA Great Lakes Environmental Research Laboratory, United States

    3 publications · 108 citations

    3

    h-index

1–5 of 726

Venues

  1. PLoS ONE

    16 publications · 806 citations

    15

    h-index

  2. Ecological Modelling

    9 publications · 443 citations

    9

    h-index

  3. 8

    h-index

  4. The American Naturalist

    AN · 7 publications · 563 citations

    7

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 5 publications · 265 citations

    5

    h-index

1–5