Published Sep 2012
Caro JJ, Briggs AH, Siebert U, et al. Modeling good research practices - overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Value Health. 2012;15(5):796-803.
Models—mathematical frameworks that facilitate estimation of the
consequences of health care decisions—have become essential tools
for health technology assessment. Evolution of the methods since the
first ISPOR Modeling Task Force reported in 2003 has led to a new Task
Force, jointly convened with the Society for Medical Decision Making,
and this series of seven articles presents the updated recommendations
for best practices in conceptualizing models; implementing statetransition
approaches, discrete event simulations, or dynamic transmission
models; and dealing with uncertainty and validating and
reporting models transparently. This overview article introduces the
work of the Task Force, provides all the recommendations, and discusses
some quandaries that require further elucidation. The audience
for these articles includes those who build models, stakeholders who
utilize their results, and, indeed, anyone concerned with the use of
models to support decision making.
Keywords: best practices, guidelines, methods, modeling.
Copyright © 2017, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.
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- Conceptualizing a Model: Report 2
- State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
- Modeling Using Discrete Event Simulation: Report 4
- Dynamic Transmission Modeling: Report 5
- Model Parameter Estimation and Uncertainty Analysis: Report 6
- Model Transparency and Validation: Report 7