The Prevention and Treatment of Missing Data in Clinical Trials

Little, Roderick J. A.; D’Agostino, Ralph B.; Cohen, Michael L.; Dickersin, Kay; Emerson, Scott S.; Farrar, John T.; Frangakis, Constantine; Hogan, Joseph W.; Molenberghs, Geert; Murphy, Susan A.; Neaton, James D.; Rotnitzky, Andrea; Scharfstein, Daniel O.; Shih, Weichung Joe; Siegel, Jay P.; Stern, Hal S.

doi:10.1056/nejmsr1203730

articleNew England Journal of MedicineOct 3, 2012BRONZE OA

The Prevention and Treatment of Missing Data in Clinical Trials

RJRoderick J. A. Little RBRalph B. D’Agostino MLMichael L. Cohen KDKay Dickersin SSScott S. Emerson

University of Michigan–Ann Arbor · Boston University · +2 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Missing data in clinical trials can have a major effect on the validity of the inferences that can be drawn from the trial. This article reviews methods for preventing missing data and, failing that, dealing with data that are missing.

Citation impact

1,878

total citations

FWCI: 122.10
Percentile: 100%
References: 18

Citations per year

Authors

RJ
Roderick J. A. LittleCorresponding
University of Michigan–Ann Arbor
RB
Ralph B. D’Agostino
Boston University, Johns Hopkins University
ML
Michael L. Cohen
Johns Hopkins University, National Academies of Sciences, Engineering, and Medicine
KD
Kay Dickersin
Johns Hopkins University
SS
Scott S. Emerson

Topics & keywords

Topics

Statistical Methods in Clinical Trials100%
Meta-analysis and systematic reviews100%
Statistical Methods and Inference100%

Keywords

Medicine
Missing data
Clinical trial
MEDLINE
Intensive care medicine
Internal medicine
Machine learning

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