Journal
MEDICAL DECISION MAKING
Volume 32, Issue 5, Pages 690-700Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/0272989X12455463
Keywords
decision-analytic modeling; guidelines; Markov models; state-transition modeling
Funding
- Oncotyrol Center for Personalized Cancer Medicine (COMET center)
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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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