医学
缺少数据
临床试验
梅德林
重症监护医学
内科学
机器学习
政治学
计算机科学
法学
作者
Roderick J. A. Little,Ralph B. D’Agostino,Michael L. Cohen,Kay Dickersin,Scott S. Emerson,John T. Farrar,Constantine Frangakis,Joseph W. Hogan,Geert Molenberghs,Susan A. Murphy,James D. Neaton,Andrea Rotnitzky,Daniel O. Scharfstein,Weichung Joe Shih,Jay P. Siegel,Hal S. Stern
标识
DOI：10.1056/nejmsr1203730
摘要
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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