Markov Microsimulation

Markov Microsimulation is a computational modeling technique that simulates individual life histories through a stochastic state-transition process, where the probability of transitioning between health or status states depends only on the current state and follows a Markov chain, applied at the individual level to capture heterogeneity and dynamic outcomes over time.

154

Publications

7.5K

Citations

859

Authors

435

Institutions

Publications per year

2017–2026

89

Variants

Markov Microsimulations

Authors

859

  1. HJ
    Harry J. de Koning

    Erasmus MC, Netherlands

    7 publications · 248 citations

    7

    h-index

  2. MH
    Mickaël Hiligsmann

    Maastricht University, Netherlands

    6 publications · 197 citations

    6

    h-index

  3. EA
    Eveline A.M. Heijnsdijk

    Erasmus MC, Netherlands

    6 publications · 135 citations

    6

    h-index

  4. KA
    Kenneth A. Freedberg

    Massachusetts General Hospital, United States

    5 publications · 217 citations

    5

    h-index

  5. JR
    Jean‐Yves Reginster

    University of Liège, Belgium

    5 publications · 180 citations

    5

    h-index

1–5 of 859

Venues

  1. PLoS ONE

    6 publications · 199 citations

    6

    h-index

  2. BMJ Open

    5 publications · 209 citations

    5

    h-index

  3. Osteoporosis International

    5 publications · 113 citations

    5

    h-index

  4. Value in Health

    5 publications · 267 citations

    5

    h-index

  5. Annals of Internal Medicine

    4 publications · 423 citations

    4

    h-index

1–5