The Prevention and Treatment of Missing Data in Clinical Trials

20121,865 citationsJournal Articlebronze Open Access

Authors

Roderick J. A. Little · University of Michigan–Ann Arbor

Ralph B. D’Agostino · Boston University

Michael L. Cohen · Johns Hopkins University

Kay Dickersin · Johns Hopkins University

Scott S. Emerson

John T. Farrar

Constantine Frangakis · Johns Hopkins University

Joseph W. Hogan

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.

Topics & Keywords

Statistical Methods in Clinical Trials Meta-analysis and systematic reviews Statistical Methods and Inference

Publication Details

Published in: New England Journal of Medicine

Volume 367, Issue 14, pp. 1355-1360

DOI: 10.1056/nejmsr1203730

Field-Weighted Citation Impact: 124.71

Command Palette

The Prevention and Treatment of Missing Data in Clinical Trials

Authors

Abstract

Topics & Keywords

Publication Details