The prevention and handling of the missing data
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 techniqu...
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doaj-cd70c1d5089341d4848181cdfc8ecdec2020-11-25T03:33:56ZengKorean Society of AnesthesiologistsKorean Journal of Anesthesiology2005-64192005-75632013-05-0164540240610.4097/kjae.2013.64.5.4027569The prevention and handling of the missing dataHyun Kang0Department of Anesthesiology and Pain Medicine, Chung-Ang Universtiy College of Medicine, Seoul, Korea.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.http://ekja.org/upload/pdf/kjae-64-402.pdfexpectation-maximizationimputationmissing datasensitivity analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hyun Kang |
spellingShingle |
Hyun Kang The prevention and handling of the missing data Korean Journal of Anesthesiology expectation-maximization imputation missing data sensitivity analysis |
author_facet |
Hyun Kang |
author_sort |
Hyun Kang |
title |
The prevention and handling of the missing data |
title_short |
The prevention and handling of the missing data |
title_full |
The prevention and handling of the missing data |
title_fullStr |
The prevention and handling of the missing data |
title_full_unstemmed |
The prevention and handling of the missing data |
title_sort |
prevention and handling of the missing data |
publisher |
Korean Society of Anesthesiologists |
series |
Korean Journal of Anesthesiology |
issn |
2005-6419 2005-7563 |
publishDate |
2013-05-01 |
description |
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. |
topic |
expectation-maximization imputation missing data sensitivity analysis |
url |
http://ekja.org/upload/pdf/kjae-64-402.pdf |
work_keys_str_mv |
AT hyunkang thepreventionandhandlingofthemissingdata AT hyunkang preventionandhandlingofthemissingdata |
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1724560787711721472 |