Should multiple imputation be the method of choice for handling missing data in randomized trials?

Bias and Precision of the “Multiple Imputation, Then Deletion” Method for Dealing With Missing Outcome Data

(2015) Thomas R. Sullivan et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

The rise of multiple imputation: a review of the reporting and implementation of the method in medical research

(2015) Panteha Hayati Rezvan et al.   BMC Medical Research Methodology

Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation

(2015) Gina L. Mazza et al.   MULTIVARIATE BEHAVIORAL RESEARCH

A taxonomy of estimands for regulatory clinical trials with discontinuations

(2015) Thomas Permutt   STATISTICS IN MEDICINE

Neurodevelopmental outcomes at 7 years' corrected age in preterm infants who were fed high-dose docosahexaenoic acid to term equivalent: a follow-up of a randomised controlled trial

(2015) C. T. Collins et al.   BMJ Open

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

(2014) Melanie L Bell et al.   BMC Medical Research Methodology

Intention-to-treat analysis with treatment discontinuation and missing data in clinical trials

(2014) Roderick Little et al.   STATISTICS IN MEDICINE

The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies

(2014) Brennan C Kahan et al.   Trials

Addressing Missing Data in Clinical Trials

(2013) Thomas R. Fleming   ANNALS OF INTERNAL MEDICINE

Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation

(2013) James R. Carpenter et al.   Journal of Biopharmaceutical Statistics

Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models

(2013) Bohdana Ratitch et al.   PHARMACEUTICAL STATISTICS

Practical and statistical issues in missing data for longitudinal patient-reported outcomes

(2013) Melanie L Bell et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models

(2013) Qingxia Chen et al.   Statistics and Its Interface

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

(2012) R. H. H. Groenwold et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL

Including all individuals is not enough: Lessons for intention-to-treat analysis

(2012) Ian R White et al.   Clinical Trials

The Prevention and Treatment of Missing Data in Clinical Trials

(2012) Roderick J. Little et al.   NEW ENGLAND JOURNAL OF MEDICINE

Inconsistent Definitions for Intention-To-Treat in Relation to Missing Outcome Data: Systematic Review of the Methods Literature

(2012) Mohamad Alshurafa et al.   PLoS One

The design and conduct of clinical trials to limit missing data

(2012) R. J. Little et al.   STATISTICS IN MEDICINE

Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique

(2011) Jonathan M. Snowden et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

(2011) Rolf H. H. Groenwold et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Pre- and post-term growth in pre-term infants supplemented with higher-dose DHA: a randomised controlled trial

(2011) Carmel T. Collins et al.   BRITISH JOURNAL OF NUTRITION

Review of inverse probability weighting for dealing with missing data

(2011) Shaun R Seaman et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Effect of DHA Supplementation During Pregnancy on Maternal Depression and Neurodevelopment of Young Children

(2010) Maria Makrides et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example

(2010) Mirjam J. Knol et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

The use and reporting of multiple imputation in medical research - a review

(2010) A. Mackinnon   JOURNAL OF INTERNAL MEDICINE

Multiple imputation using chained equations: Issues and guidance for practice

(2010) Ian R. White et al.   STATISTICS IN MEDICINE

Generalized linear mixed models: a practical guide for ecology and evolution

(2009) Benjamin M. Bolker et al.   TRENDS IN ECOLOGY & EVOLUTION

Missing Data Analysis: Making It Work in the Real World

(2008) John W. Graham   Annual Review of Psychology