ArticleHealth economics2020
Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis.
Article in Health economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Randomized controlled trial to evaluate an app-based multimodal digital intervention for people with type 2 diabetes in comparison to a placebo app.Frontiers in digital health · 2025Trial
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- Missing Data in Trial-Based Cost-Effectiveness Analysis: The Journey Continues.PharmacoEconomics · 2026Review
- Comparing User-Written Codes for Performing Economic Evaluations in Stata.PharmacoEconomics · 2026Review
- A cost-utility analysis for return-to-work interventions comparing alternative methods for handling missing health-related quality of life data.Journal of rehabilitation medicine · 2025Article
- Study protocol for a prospective, investigator-initiated clinical trial on the vascular effects of acupuncture in the abdomen and lower limbs for patients with diarrhea-predominant irritable bowel syndrome.International journal of colorectal disease · 2025Article
- Poor reporting quality and high proportion of missing data in economic evaluations alongside pragmatic trials: a cross-sectional survey.BMC medical research methodology · 2025Article
- Physical exercise therapy for chronic non-specific neck pain: protocol for a meta-analysis of individual participant data.Systematic reviews · 2025Article
- Article
- The clinical and cost-effectiveness of elective primary total knee replacement with PAtellar Resurfacing compared to selective patellar resurfacing: a pragmatic multicentre randomized controlled Trial (PART).Bone & joint open · 2024Article
- Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes.Statistical theory and related fields · 2024Article
- Conducting Trial-Based Economic Evaluations Using R: A Tutorial.PharmacoEconomics · 2023Article
- A scoping review of statistical methods for trial-based economic evaluations: The current state of play.Health economics · 2022Article
- Linear mixed models to handle missing at random data in trial-based economic evaluations.Health economics · 2022Article
- Flexible Bayesian longitudinal models for cost-effectiveness analyses with informative missing data.Health economics · 2021Article
- The statistical approach in trial-based economic evaluations matters: get your statistics together!BMC health services research · 2021Article
- Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis.Health economics · 2020Article
- Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Missing data are a common issue in cost-effectiveness analysis (CEA) alongside randomised trials and are often addressed assuming the data are 'missing at random'. However, this assumption is often questionable, and sensitivity analyses are required to assess the implications of departures from missing at random. Reference-based multiple imputation provides an attractive approach for conducting such sensitivity analyses, because missing data assumptions are framed in an intuitive way by making reference to other trial arms. For example, a plausible not at random mechanism in a placebo-controlled trial would be to assume that participants in the experimental arm who dropped out stop taking their treatment and have similar outcomes to those in the placebo arm. Drawing on the increasing use of this approach in other areas, this paper aims to extend and illustrate the reference-based multiple imputation approach in CEA. It introduces the principles of reference-based imputation and proposes an extension to the CEA context. The method is illustrated in the CEA of the CoBalT trial evaluating cognitive behavioural therapy for treatment-resistant depression. Stata code is provided. We find that reference-based multiple imputation provides a relevant and accessible framework for assessing the robustness of CEA conclusions to different missing data assumptions.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.