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Can You Repeat That? Exploring the Definition of a Successful Model Replication in Health Economics

Author

Listed:
  • Emma McManus

    (University of East Anglia)

  • David Turner

    (University of East Anglia)

  • Tracey Sach

    (University of East Anglia)

Abstract

The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) modelling taskforce suggests decision models should be thoroughly reported and transparent. However, the level of transparency and indeed how transparency should be assessed are yet to be defined. One way may be to attempt to replicate the model and its outputs. The ability to replicate a decision model could demonstrate adequate reporting transparency. This review aims to explore published definitions of replication success across all scientific disciplines and to consider how such a definition should be tailored for use in health economic models. A literature review was conducted to identify published definitions of a ‘successful replication’. Using these as a foundation, several definitions of replication success were constructed, to be applicable to replications of economic decision models, with the associated strengths and weaknesses of such definitions discussed. A substantial body of literature discussing replicability was found; however, relatively few studies, ten, explicitly defined a successful replication. These definitions varied from subjective assessments to expecting exactly the same results to be reproduced. Whilst the definitions that have been found may help to construct a definition specific to health economics, no definition was found that completely encompassed the unique requirements for decision models. Replication is widely discussed in other scientific disciplines; however, as of yet, there is no consensus on how replicable models should be within health economics or what constitutes a successful replication. Replication studies can demonstrate how transparently a model is reported, identify potential calculation errors and inform future reporting practices. It may therefore be a useful adjunct to other transparency or quality measures.

Suggested Citation

  • Emma McManus & David Turner & Tracey Sach, 2019. "Can You Repeat That? Exploring the Definition of a Successful Model Replication in Health Economics," PharmacoEconomics, Springer, vol. 37(11), pages 1371-1381, November.
  • Handle: RePEc:spr:pharme:v:37:y:2019:i:11:d:10.1007_s40273-019-00836-y
    DOI: 10.1007/s40273-019-00836-y
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    References listed on IDEAS

    as
    1. Jan H. Höffler, 2017. "Replication and Economics Journal Policies," American Economic Review, American Economic Association, vol. 107(5), pages 52-55, May.
    2. Christopher James Sampson & Tim Wrightson, 2017. "Model Registration: A Call to Action," PharmacoEconomics - Open, Springer, vol. 1(2), pages 73-77, June.
    3. Maren Duvendack & Richard Palmer-Jones & W. Robert Reed, 2017. "What Is Meant by "Replication" and Why Does It Encounter Resistance in Economics?," American Economic Review, American Economic Association, vol. 107(5), pages 46-51, May.
    4. 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.
    5. Maren Duvendack & Richard W. Palmer-Jones & W. Robert Reed, 2015. "Replications in Economics: A Progress Report," Econ Journal Watch, Econ Journal Watch, vol. 12(2), pages 164–191-1, May.
    6. Annette N. Brown & Drew B. Cameron & Benjamin D. K. Wood, 2014. "Quality evidence for policymaking: I'll believe it when I see the replication," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 215-235, September.
    7. Chang, Andrew C., 2017. "A replication recipe: List your ingredients before you start cooking," Economics Discussion Papers 2017-74, Kiel Institute for the World Economy (IfW Kiel).
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    Cited by:

    1. Paul Tappenden & J. Jaime Caro, 2019. "Improving Transparency in Decision Models: Current Issues and Potential Solutions," PharmacoEconomics, Springer, vol. 37(11), pages 1303-1304, November.

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