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Missing data in trial‐based cost‐effectiveness analysis: the current state of play

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  • Sian Marie Noble
  • William Hollingworth
  • Kate Tilling

Abstract

Randomised controlled trial (RCT)‐based cost‐effectiveness analyses, which are prone to missing data, are increasingly used in healthcare technology assessment. This has highlighted the need for appropriate methodological approaches to the handling of missing data. This paper reviews missing data methodology used in RCT‐based cost‐effectiveness analyses since 2003. Complete case analysis, which may lead to inappropriate conclusions, is still the most popular approach and its use has increased with time. The degree of missing data in cost‐effectiveness analyses was often poorly reported and the methodology was often unclear. Reporting of missing data sensitivity analyses would improve article transparency. Copyright © 2010 John Wiley & Sons, Ltd.

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  • Sian Marie Noble & William Hollingworth & Kate Tilling, 2012. "Missing data in trial‐based cost‐effectiveness analysis: the current state of play," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 187-200, February.
    • Handle: RePEc:wly:hlthec:v:21:y:2012:i:2:p:187-200
    DOI: 10.1002/hec.1693
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    Cited by:

    1. Bernhard Michalowsky & Wolfgang Hoffmann & Kevin Kennedy & Feng Xie, 2020. "Is the whole larger than the sum of its parts? Impact of missing data imputation in economic evaluation conducted alongside randomized controlled trials," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 717-728, July.

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