ArticleAddiction (Abingdon, England)2014
A general method for handling missing binary outcome data in randomized controlled trials.
Article in Addiction (Abingdon, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06566976 (Prehabilitation and Rehabilitation in PAD), which is not on this map. Cited by 15 papers.
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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.
Prehabilitation and Rehabilitation in PAD: A Randomized Exercise Intervention Trial (PREPARE-IT)
Who cites it
15 citing papers in PubMed.
- Contingency Management for Smoking Cessation Among Adults Experiencing Homelessness: A Pilot Randomized Clinical Trial.JAMA network open · 2026Trial
- Effectiveness of personalised risk information and taster sessions to increase the uptake of smoking cessation services (Start2quit): a randomised controlled trial.Lancet (London, England) · 2017Trial
- Effectiveness of Short Message Service Text-Based Smoking Cessation Intervention Among University Students: A Randomized Clinical Trial.JAMA internal medicine · 2016Trial
- Trial
- Caring for Post-9/11 Veterans in the Civilian Sector: Knowledge and Readiness of Registered and Advance Practice Nurse Providers.Journal of military and veterans' health · 2024Article
- Article
- An economic evaluation of an online computer-tailored smoking cessation intervention that includes message frame-tailoring: A randomized controlled trial.PLOS digital health · 2022Article
- Beyond abstinence and relapse: cluster analysis of drug-use patterns during treatment as an outcome measure for clinical trials.Psychopharmacology · 2020Article
- Article
- Outcome Assessment in Trials of Pharmacological Treatments for Alcohol Use Disorders: Fair and Strict Testing.CNS drugs · 2019Review
- Analysis of self-report and biochemically verified tobacco abstinence outcomes with missing data: a sensitivity analysis using two-stage imputation.BMC medical research methodology · 2018Article
- Erythropoietin for cancer-associated malignant anemia: A meta-analysis.Molecular and clinical oncology · 2017Article
- Missing Data in Alcohol Clinical Trials with Binary Outcomes.Alcoholism, clinical and experimental research · 2016Article
- Recommendations for the Design and Analysis of Treatment Trials for Alcohol Use Disorders.Alcoholism, clinical and experimental research · 2015Review
- Reply to discrepant results for smoking and cessation among electronic cigarette users.Cancer · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
aimsThe analysis of randomized controlled trials with incomplete binary outcome data is challenging. We develop a general method for exploring the impact of missing data in such trials, with a focus on abstinence outcomes.
designWe propose a sensitivity analysis where standard analyses, which could include 'missing = smoking' and 'last observation carried forward', are embedded in a wider class of models.
settingWe apply our general method to data from two smoking cessation trials.
participantsA total of 489 and 1758 participants from two smoking cessation trials. MEASUREMENTS: The abstinence outcomes were obtained using telephone interviews.
findingsThe estimated intervention effects from both trials depend on the sensitivity parameters used. The findings differ considerably in magnitude and statistical significance under quite extreme assumptions about the missing data, but are reasonably consistent under more moderate assumptions.
conclusionsA new method for undertaking sensitivity analyses when handling missing data in trials with binary outcomes allows a wide range of assumptions about the missing data to be assessed. In two smoking cessation trials the results were insensitive to all but extreme assumptions.
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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.