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Medline ® Abstract for Reference 26

of 'Decision analysis'

State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3.
Siebert U, Alagoz O, Bayoumi AM, Jahn B, Owens DK, Cohen DJ, Kuntz KM
Med Decis Making. 2012 Sep;32(5):690-700.
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.
UMIT-University for Health Sciences, Medical Informatics and Technology, Hall/Tyrol, Austria. uwe.siebert@umit.at