Markov Modeling

Markov Modeling is a stochastic simulation methodology used in cost-effectiveness and pharmacoeconomic analyses that models disease progression and treatment outcomes by representing patient health states and transitions between them over discrete time intervals, distinguished by the Markov property that limits memory dependence to the current state.

2.9K

Publications

142.3K

Citations

8.5K

Authors

2.8K

Institutions

Publications per year

2017–2026

674

Authors

8.5K

  1. SM
    Sally McClean

    University of Ulster, United Kingdom

    18 publications · 836 citations

    17

    h-index

  2. KS
    Kishor S. Trivedi

    Duke University, United States

    17 publications · 1K citations

    15

    h-index

  3. DL
    Danny Liew

    Monash University, Australia

    13 publications · 319 citations

    13

    h-index

  4. OA
    Oğuzhan Alagöz

    University of Wisconsin–Madison, United States

    13 publications · 1.4K citations

    12

    h-index

  5. PG
    P.-C. G. Vassiliou

    Aristotle University of Thessaloniki, Greece

    9 publications · 272 citations

    9

    h-index

1–5 of 8.5K

Venues

  1. Statistics in Medicine

    78 publications · 3.4K citations

    32

    h-index

  2. Operations Research

    50 publications · 4K citations

    29

    h-index

  3. Medical Decision Making

    MDM · 51 publications · 5.7K citations

    27

    h-index

  4. PLoS ONE

    49 publications · 1.4K citations

    26

    h-index

  5. Biometrics

    39 publications · 1.9K citations

    24

    h-index

1–5