Cited by 348Health Systems, Economic Evaluations, Quality of LifeSimulation Techniques and ApplicationsStatistical Methods in Clinical Trials

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State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3

Siebert, Uwe, Alagoz, Oguzhan, Bayoumi, Ahmed M., Jahn, Beate, Owens, Douglas K., Cohen, David J., Kuntz, Karen M.·2012·Medical Decision Making

DOI 10.1177/0272989x12455463

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Abstract

State-transition modeling (STM) is an intuitive, flexible, and transparent approach of computer-based decision-analytic modeling, including both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. Conceptualizing a decision problem in terms of a set of (health) states and transitions among these states, STM is one of the most widespread modeling techniques in clinical decision analysis, health technology assessment, and health-economic evaluation. STMs have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs.

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Self-citation

Authors: Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M.
Affiliations: St. Michael's Hospital (CA)
UMIT–University for Health Sciences, Medical Informatics and Technology,Hall/Tyrol, Austria (US)
ORCID: Siebert, Uwe
Bayoumi, Ahmed M.
Jahn, Beate
Cohen, David J.
Kuntz, Karen M.
Venue: Medical Decision Making
Publisher: SAGE Publications
Published: 2012-09
Volume: 32
Issue: 5
Pages: 690-700
ISSN: 0272-989X (ISSN-L)
1552-681X
DOI: 10.1177/0272989x12455463
OpenAlex: W2132708603
Cited by: 348
References: 59
Citations by year: 2026: 23 · 2025: 23 · 2024: 19 · 2023: 18 · 2022: 28 · 2021: 23 · 2020: 29 · 2019: 25 · 2018: 24 · 2017: 29 · 2016: 25 · 2015: 32 · 2014: 21 · 2013: 19 · 2012: 8
FWCI: 61.24
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Medical Decision Making (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords: state transition modeling, Monte Carlo simulation, clinical decision analysis, health technology assessment, health economic evaluation, health states, risk factor intervention, screening, diagnostic procedures, treatment options, disease management programs
MeSH terms: Decision Making, Markov Chains, Models, Theoretical, Cohort Studies, Benchmarking

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State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3

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