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State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Task Force-3

2012

State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. These models 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.

Recommendations are made on choice of model type (cohort vs. individual-level model), model structure, model parameters, analysis, reporting, and communication with specific examples from the literature.  These recommendations for state-transition modeling are directed both to modelers and to users of modeling results such as clinicians, clinical guideline developers, manufacturers, or policymakers.

This paper is one of a 7-part series of articles on modeling good research practices based on a collaboration between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM).

The other articles include:

 

Source:

Siebert U, Alagoz O, Bayoumi AM et al. State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3. Value Health 2012; 15: 812-820. https://doi.org/10.1177/0272989X12455463