The Prevention and Treatment of Missing Data in Clinical Trials
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, Geert Molenberghs, Susan A. Murphy(University of Michigan–Ann Arbor), James D. Neaton, Andrea Rotnitzky, Daniel O. Scharfstein(Johns Hopkins University), Weichung Joe Shih, Jay P. Siegel, Hal S. Stern
Cited by 1,879Open Access
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.
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