This paper will review current modeling techniques for state-transition-based modeling (Markov models and others) for both cohort and individual-level (Monte Carlo) state-transition models. It will address issues concerning state-transition modeling and address the key principles of the implementation of cohort simulation and microsimulation in state-transition modeling.
Working Group Chairs (Lead authors):
Karen Kuntz ScD, Professor, University of Minnesota School of Public Health, Minneapolis, MN USA
Uwe Siebert, MD, MPH, MSc, ScD, Professor of Public Health, UMIT – Univ. of Health Sciences, Medical Informatics & Technology, Hall, i.T, Austria
Working Group Members (Co-authors):
Oguzhan Alagoz PhD, MS, Assistant Professor, University of Wisconsin-Madison, College of Engineering, Department of Industrial & Systems Engineering, Madison, WI USA
Beate Jahn, PhD, Researcher, UMIT – Univ. of Health Sciences, Medical Informatics & Technology, Hall, i.T, Austria
Doug Owens MD, MS, Professor of Medicine, CHP/PCOR, Stanford University, Stanford, CA USA
David Cohen MD, Director of Cardiovascular Research, Saint Luke’s Mid America Health Institute, Kansas City, MO USA
For more information on the ISPOR-SMDM Modeling Good Research Practices Task Force (Leadership, Goal, Background / Overview, Timeline) please refer to the following page: http://www.ispor.org/TaskForces/GRPModelingTf.asp
For further recommendations on modeling good research practices, please refer to the following reports:
ISPOR
Good Research Practices Index | ISPOR-SMDM Modeling Good Research Practices Task Force