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Good Practice Guidelines for the use of Statistical Regression Models in Economic Evaluations

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  • Ben Kearns
  • Roberta Ara
  • Allan Wailoo
  • Andrea Manca
  • Monica Alava
  • Keith Abrams
  • Mike Campbell

Abstract

Decision-analytic models (DAMs) used to evaluate the cost effectiveness of interventions are pivotal sources of evidence used in economic evaluations. Parameter estimates used in the DAMs are often based on the results of a regression analysis, but there is little guidance relating to these. This study had two objectives. The first was to identify the frequency of use of regression models in economic evaluations, the parameters they inform, and the amount of information reported to describe and support the analyses. The second objective was to provide guidance to improve practice in this area, based on the review. The review concentrated on a random sample of economic evaluations submitted to the UK National Institute for Health and Clinical Excellence (NICE) as part of its technology appraisal process. Based on these findings, recommendations for good practice were drafted, together with a checklist for critiquing reporting standards in this area. Based on the results of this review, statistical regression models are in widespread use in DAMs used to support economic evaluations, yet reporting of basic information, such as the sample size used and measures of uncertainty, is limited. Recommendations were formed about how reporting standards could be improved to better meet the needs of decision makers. These recommendations are summarised in a checklist, which may be used by both those conducting regression analyses and those critiquing them, to identify what should be reported when using the results of a regression analysis within a DAM. Copyright Springer International Publishing Switzerland 2013

Suggested Citation

  • Ben Kearns & Roberta Ara & Allan Wailoo & Andrea Manca & Monica Alava & Keith Abrams & Mike Campbell, 2013. "Good Practice Guidelines for the use of Statistical Regression Models in Economic Evaluations," PharmacoEconomics, Springer, vol. 31(8), pages 643-652, August.
    • Handle: RePEc:spr:pharme:v:31:y:2013:i:8:p:643-652
    DOI: 10.1007/s40273-013-0069-y
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    References listed on IDEAS

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    1. Don Husereau & Michael Drummond & Stavros Petrou & Chris Carswell & David Moher & Dan Greenberg & Federico Augustovski & Andrew Briggs & Josephine Mauskopf & Elizabeth Loder, 2013. "Consolidated Health Economic Evaluation Reporting Standards (CHEERS) Statement," PharmacoEconomics, Springer, vol. 31(5), pages 361-367, May.
    2. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629.
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    1. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.

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