Handling missing data in RCTs; a review of the top medical journals

Keywords

Missing data, Randomized controlled trial, Medicine, Imputation (statistics), Clinical trial

References

• CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials光一郎 道本, 智幸 鈴木 — 2010
• Web-Based Alcohol Screening and Brief Intervention for University StudentsVíctor José Rojas Moreno — 2014
• Applied Longitudinal AnalysisGeert Molenberghs — 2005
• What is meant by intention to treat analysis? Survey of published randomised controlled trialsS. Hollis, F. M. Campbell — 1999
• Have last-observation-carried-forward analyses caused us to favour more toxic dementia therapies over less toxic alternatives? A systematic reviewFrank Molnar, Malcolm Man‐Son‐Hing, Brian Hutton — 2009
• Genetic effects, gene-lifestyle interactions, and type 2 diabetesLu Qi — 2008
• Missing outcomes in randomized trials: addressing the dilemmaDouglas G. Altman — 2009
• Including all individuals is not enough: lessons for intention-to-treat analysisIan R. White, James R. Carpenter, Nicholas J. Horton — 2012
• Last Observation Carried Forward: A Crystal Ball?Michael G. Kenward, Geert Molenberghs — 2009
• The intention-to-treat approach in randomized controlled trials: Are authors saying what they do and doing what they say?Jocelyn Gravel, Lucie Opatrny, Stan Shapiro — 2007
• The Prevention and Treatment of Missing Data in Clinical TrialsRoderick J. A. Little, Ralph B. D’Agostino, Michael L. Cohen — 2012
• Practical and statistical issues in missing data for longitudinal patient-reported outcomesMelanie L. Bell, Diane L. Fairclough — 2014
• Strategy for intention to treat analysis in randomised trials with missing outcome dataIan R. White, Nicholas J. Horton, James R. Carpenter — 2011
• Differential dropout and bias in randomised controlled trials: when it matters and when it may notMelanie L. Bell, Michael G. Kenward, Diane L. Fairclough — 2013
• Inconsistent Definitions for Intention-To-Treat in Relation to Missing Outcome Data: Systematic Review of the Methods LiteratureMohamad Alshurafa, Matthias Briel, Elie A. Akl — 2012
• Multiple imputation for missing data in epidemiological and clinical research: potential and pitfallsJonathan A C Sterne, Ian R. White, John B. Carlin — 2009
• Choice of the primary analysis in longitudinal clinical trialsCraig Mallinckrodt, John G. Watkin, Geert Molenberghs — 2004
• A tutorial on sensitivity analyses in clinical trials: the what, why, when and howLehana Thabane, Lawrence Mbuagbaw, Shiyuan Zhang — 2013
• Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journalsAngela Wood, Ian R. White, Simon G. Thompson — 2004
• Analysis of semiparametric regression models for repeated outcomes in the presence of missing dataJames M. Robins, Andrea Rotnitzky, Lue Ping Zhao — 1995

Cited by

• Effects of a prevention program on multiple health-compromising behaviours in adolescence: A cluster randomized controlled trial.満都拉, 正也 市村 — 2019
• Task- and Context-Specific Balance Training Program Enhances Dynamic Balance and Functional Performance in Parkinsonian Nonfallers: A Randomized Controlled Trial With Six-Month Follow-Up.Irene S.K. Wong-Yu, Kit Yi Mak — 2015
• A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta‐analysisNicholas Turner, Sofia Dias, A. E. Ades — 2015
• Missing CD4+ cell response in randomized clinical trials of maraviroc and dolutegravirRobert L. Cuffe, Carly Barnett, Catherine Granier — 2015
• Evaluation of a weighting approach for performing sensitivity analysis after multiple imputationPanteha Hayati Rezvan, Ian R. White, Katherine J. Lee — 2015
• Combining Fourier and Lagged k-Nearest Neighbor Imputation for Biomedical Time Series DataShah Atiqur Rahman, Yuxiao Huang, Jan Claassen — 2015
• Statistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic reviewMallorie H. Fiero, Shuang Huang, Melanie L. Bell — 2015
• Drug Discontinuation and Follow-up Rates in Oral Antithrombotic Trials.Thomas A. Marciniak, Vasily Cherepanov, Е. З. Голухова — 2016
• Missing data imputation: focusing on single imputation.Zhongheng Zhang — 2016
• Missing data in randomized controlled trials testing palliative interventions pose a significant risk of bias and loss of power: a systematic review and meta-analysesJamilla Hussain, Ian R. White, Dean Langan — 2015
• Multiple imputation of multiple multi-item scales when a full imputation model is infeasibleCatrin Plumpton, Tim P. Morris, Dyfrig Hughes — 2016
• The current practice of handling and reporting missing outcome data in eight widely used PROMs in RCT publications: a review of the current literatureInes Rombach, Oliver Rivero‐Arias, Alastair Gray — 2016
• Statistical analysis and handling of missing data in cluster randomized trials: a systematic reviewMallorie H. Fiero, Shuang Huang, Eyal Oren — 2016
• The use of randomisation-based efficacy estimators in non-inferiority trialsDavid Gillespie, Kerenza Hood, Daniel Farewell — 2015
• Single time point comparisons in longitudinal randomized controlled trials: power and bias in the presence of missing dataErin L. Ashbeck, Melanie L. Bell — 2016
• Effects of a Psychological Internet Intervention in the Treatment of Mild to Moderate Depressive Symptoms: Results of the EVIDENT Study, a Randomized Controlled TrialJan Philipp Klein, Thomas Berger, Johanna Schröder — 2016
• Design, implementation and reporting strategies to reduce the instance and impact of missing patient-reported outcome (PRO) data: a systematic reviewRebecca Mercieca‐Bebber, Michael Palmer, Michael Brundage — 2016
• An overview of methods for network meta-analysis using individual participant data: when do benefits arise?Thomas P. A. Debray, Ewoud Schuit, Orestis Efthimiou — 2018
• Ovarian cancer study dropouts had worse health‐related quality of life and psychosocial symptoms at baseline and over timeRebecca Mercieca‐Bebber, Melanie A. Price, Melanie L. Bell — 2017
• Reporting and dealing with missing quality of life data in RCTs: has the picture changed in the last decade?Shona Fielding, Anuli Regina Ogbuagu, S. Sivasubramaniam — 2016

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