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
2.9K
An introduction to hidden Markov models
L. R. Rabiner, Biing‐Hwang Juang · IEEE ASSP Magazine · 1986 · 4.8K citations
Markov Models in Medical Decision Making
Frank A. Sonnenberg, J. Robert Beck · Medical Decision Making · 1993 · 2.4K citations
1–5 of 2.9K
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2.8K

University of Toronto
Toronto, Canada
25 h-index
108 publications
8.2K citations
Stanford University
Stanford, United States
25 h-index
127 publications
8.1K citations
University of Washington
Seattle, United States
25 h-index
91 publications
4.8K citations
Harvard University
Cambridge, United States
25 h-index
88 publications
4.1K citations
Inserm
Paris, France
24 h-index
109 publications
5.4K citations
University of Pittsburgh
Pittsburgh, United States
23 h-index
87 publications
5K citations

Johns Hopkins University
Baltimore, United States
21 h-index
103 publications
6.6K citations
University of Michigan
Ann Arbor, United States
21 h-index
81 publications
4.5K citations
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78 publications · 3.4K citations
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50 publications · 4K citations
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MDM · 51 publications · 5.7K citations
27
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49 publications · 1.4K citations
26
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39 publications · 1.9K citations
24
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