Modeling good research practices - Overview: A report of the ISPOR-SMDM modeling good research practices task force-1

J. Jaime Caro, Andrew H. Briggs, Uwe Siebert, Karen M. Kuntz

Research output: Contribution to journalArticlepeer-review

299 Scopus citations

Abstract

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 state-transition 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.

Original languageEnglish (US)
Pages (from-to)796-803
Number of pages8
JournalValue in Health
Volume15
Issue number6
DOIs
StatePublished - 2012

Bibliographical note

Funding Information:
Source of financial support: This Task Force was supported by ISPOR.

Keywords

  • best practices
  • guidelines
  • methods
  • modeling

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