Department of Anesthesiology and Pain Medicine, Chung-Ang Universtiy College of Medicine, Seoul, Korea.
Korean J Anesthesiol. 2013 May;64(5):402-6. doi: 10.4097/kjae.2013.64.5.402. Epub 2013 May 24.
Even in a well-designed and controlled study, missing data occurs in almost all research. Missing data can reduce the statistical power of a study and can produce biased estimates, leading to invalid conclusions. This manuscript reviews the problems and types of missing data, along with the techniques for handling missing data. The mechanisms by which missing data occurs are illustrated, and the methods for handling the missing data are discussed. The paper concludes with recommendations for the handling of missing data.
即使在设计良好且控制严格的研究中，几乎所有研究都会出现数据缺失的情况。数据缺失会降低研究的统计效力，并产生有偏估计，从而导致无效的结论。本文综述了缺失数据的问题和类型，以及处理缺失数据的技术。文中还阐述了缺失数据产生的机制，并讨论了处理缺失数据的方法。最后，本文对缺失数据的处理提出了建议。
