Modeling: Everything You Wanted To Know, But Were Afraid To Ask

Princeton, NJ, USA – When designing a car or a home, builders first create a model: an accurate, yet smaller, representation of what the builder intends to build. Similarly, in health care, models are used to estimate future health care benefits as well as resource use.

Key recommendations for best practices when modeling health care benefits and costs are presented in the paper, “Modeling Good Research Practices – Overview: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1.” This overview paper is one in a series of seven papers that provide modeling best practices on the topics of: conceptualizing a model, estimating parameters and determining uncertainty, assuring a model is transparent and valid, as well as specific best practices on the following types of models: discrete event simulation models, dynamic transmission models and state-transition models.

Lead author, Dr. Jaime Caro, MD says, “The ISPOR-SMDM Modeling Task Force papers reflect the extensive experience of 35 of the world’s top health care research modelers and should serve our community well as a guide to what are the best practices for modeling to inform health care decisions.” This paper is jointly published in Value in Health, the official journal of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR), and Medical Decision Making, the official journal of the Society for Medical Decision Making (SMDM).

Value in Health (ISSN 1098-3015) publishes papers, concepts, and ideas that advance the field of pharmacoeconomics and outcomes research as well as policy papers to help health care leaders make evidence-based decisions. The journal is published bi-monthly and has over 8,000 subscribers (clinicians, decision makers, and researchers worldwide).

International Society for Pharmacoeconomics and Outcomes Research (ISPOR) is a nonprofit, international, educational and scientific organization that strives to increase the efficiency, effectiveness, and fairness of health care resource use to improve health.

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