title: State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3.
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.
authors.affiliation: UMIT–University for Health Sciences, Medical Informatics and Technology,Hall/Tyrol, Austria (US)
authors.forename: Uwe
authors.initials: U
authors.lastname: Siebert
authors.affiliation: Departments of Industrial and Systems Engineering and Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA (OA)
authors.forename: Oguzhan
authors.initials: O
authors.lastname: Alagoz
authors.affiliation: Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, and St. Michael’s Hospital, Toronto, ON, Canada (AMB)
authors.forename: Ahmed M
authors.initials: AM
authors.lastname: Bayoumi
authors.affiliation: UMIT–University for Health Sciences, Medical Informatics and Technology, Hall i.T., and Oncotyrol Center for Personalized Cancer Medicine, Innsbruck, Austria (BJ)
authors.forename: Beate
authors.initials: B
authors.lastname: Jahn
authors.affiliation: VA Palo Alto Health Care System, Palo Alto, CA, and Stanford University, Stanford, CA, USA (DKO)
authors.forename: Douglas K
authors.initials: DK
authors.lastname: Owens
authors.affiliation: Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA (DJC)
authors.forename: David J
authors.initials: DJ
authors.lastname: Cohen
authors.affiliation: University of Minnesota, School of Public Health, Minneapolis, MN, USA (KMK)
authors.forename: Karen M
authors.initials: KM
authors.lastname: Kuntz
mesh_terms: D019985:Benchmarking; D015331:Cohort Studies; D003657:Decision Making; D008390:Markov Chains; D008962:Models, Theoretical