Faria, R;
Gomes, M;
Epstein, D;
White, IR;
(2014)
A guide to handling missing data in cost-effectiveness analysis conducted within randomised controlled trials.
Pharmacoeconomics
, 32
(12)
pp. 1157-1170.
10.1007/s40273-014-0193-3.
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Abstract
Missing data are a frequent problem in cost-effectiveness analysis (CEA) within a randomised controlled trial. Inappropriate methods to handle missing data can lead to misleading results and ultimately can affect the decision of whether an intervention is good value for money. This article provides practical guidance on how to handle missing data in within-trial CEAs following a principled approach: (i) the analysis should be based on a plausible assumption for the missing data mechanism, i.e. whether the probability that data are missing is independent of or dependent on the observed and/or unobserved values; (ii) the method chosen for the base-case should fit with the assumed mechanism; and (iii) sensitivity analysis should be conducted to explore to what extent the results change with the assumption made. This approach is implemented in three stages, which are described in detail: (1) descriptive analysis to inform the assumption on the missing data mechanism; (2) how to choose between alternative methods given their underlying assumptions; and (3) methods for sensitivity analysis. The case study illustrates how to apply this approach in practice, including software code. The article concludes with recommendations for practice and suggestions for future research.
Type: | Article |
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Title: | A guide to handling missing data in cost-effectiveness analysis conducted within randomised controlled trials. |
Location: | New Zealand |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/s40273-014-0193-3 |
Publisher version: | http://dx.doi.org/10.1007/s40273-014-0193-3 |
Language: | English |
Additional information: | © The Author(s) 2014. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
Keywords: | Cost-Benefit Analysis, Humans, Randomized Controlled Trials as Topic, Statistics as Topic |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research |
URI: | https://discovery.ucl.ac.uk/id/eprint/1553463 |
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