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The prevention and handling of the missing dataThe prevention and handling of the missing data

Authors
Kang, H.
Issue Date
May-2013
Publisher
대한마취통증의학회
Keywords
Expectation-maximization; Imputation; Missing data; Sensitivity analysis
Citation
Korean Journal of Anesthesiology, v.64, no.5, pp 402 - 406
Pages
5
Journal Title
Korean Journal of Anesthesiology
Volume
64
Number
5
Start Page
402
End Page
406
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/19858
DOI
10.4097/kjae.2013.64.5.402
ISSN
2005-6419
2005-7563
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. © the Korean Society of Anesthesiologists, 2013.
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