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      The prevention and handling of the missing data

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          Abstract

          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.

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          Author and article information

          Journal
          Korean J Anesthesiol
          Korean J Anesthesiol
          KJAE
          Korean Journal of Anesthesiology
          The Korean Society of Anesthesiologists
          2005-6419
          2005-7563
          May 2013
          24 May 2013
          : 64
          : 5
          : 402-406
          Affiliations
          Department of Anesthesiology and Pain Medicine, Chung-Ang Universtiy College of Medicine, Seoul, Korea.
          Author notes
          Corresponding author: Hyun Kang, M.D., Ph.D., Department of Anesthesiology and Pain Medicine, Chung-Ang Universtiy College of Medicine, 224-1, Heuksuk-dong, Dongjak-gu, Seoul 156-756, Korea. Tel: 82-2-6299-2571, Fax: 82-2-6299-2585, roman00@ 123456naver.com
          Article
          10.4097/kjae.2013.64.5.402
          3668100
          23741561
          Copyright © the Korean Society of Anesthesiologists, 2013

          This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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          Review Article

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