## Abstract An Erratum has been published for this article in Health Economics 14(5) 2005, 486. Cost‐effectiveness analysis (CEA) in health care is increasingly conducted alongside multicentre and multinational randomised controlled clinical trials (RCTs). The increased use of stochastic CEA is de
Missing data in trial-based cost-effectiveness analysis: the current state of play
✍ Scribed by Sian Marie Noble; William Hollingworth; Kate Tilling
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 559 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1057-9230
- DOI
- 10.1002/hec.1693
No coin nor oath required. For personal study only.
✦ Synopsis
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.
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