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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