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Assessing the health economic agreement of different data sources

Author

Listed:
  • Daniel Gallacher

    (University of Warwick)

  • Felix Achana

    (University of Warwick)

Abstract

In this article, we present a simple-to-use framework for assessing the agreement of cost-effectiveness endpoints generated from different sources of data. The aim of this package is to enable the rapid assessment of routine data for use in cost-effectiveness analyses. By quantifying the comparability of routine data with “gold-standard” trial data, we inform decisions on the suitability of routine data for cost-effectiveness analysis. The rapid identification of informative routine data will increase the opportunity for economic analyses and potentially reduce the cost and burden of collecting patient-reported data in clinical trials.

Suggested Citation

  • Daniel Gallacher & Felix Achana, 2018. "Assessing the health economic agreement of different data sources," Stata Journal, StataCorp LP, vol. 18(1), pages 223-233, March.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:1:p:223-233
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    Citations

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    Cited by:

    1. Martin Connock & Peter Auguste & Xavier Armoiry, 2021. "A comparison of published time invariant Markov models with Partitioned Survival models for cost effectiveness estimation; three case studies of treatments for glioblastoma multiforme," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 89-100, February.
    2. Xavier Armoiry & Jean-François Obadia & Peter Auguste & Martin Connock, 2020. "Conflicting findings between the Mitra-Fr and the Coapt trials: Implications regarding the cost-effectiveness of percutaneous repair for heart failure patients with severe secondary mitral regurgitati," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-12, November.

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