The prevention and handling of the missing data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, H. | - |
dc.date.available | 2019-05-29T03:38:10Z | - |
dc.date.issued | 2013-05 | - |
dc.identifier.issn | 2005-6419 | - |
dc.identifier.issn | 2005-7563 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/19858 | - |
dc.description.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. | - |
dc.format.extent | 5 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 대한마취통증의학회 | - |
dc.title | The prevention and handling of the missing data | - |
dc.title.alternative | The prevention and handling of the missing data | - |
dc.type | Article | - |
dc.identifier.doi | 10.4097/kjae.2013.64.5.402 | - |
dc.identifier.bibliographicCitation | Korean Journal of Anesthesiology, v.64, no.5, pp 402 - 406 | - |
dc.identifier.kciid | ART001770120 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84878458408 | - |
dc.citation.endPage | 406 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 402 | - |
dc.citation.title | Korean Journal of Anesthesiology | - |
dc.citation.volume | 64 | - |
dc.type.docType | Review | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Expectation-maximization | - |
dc.subject.keywordAuthor | Imputation | - |
dc.subject.keywordAuthor | Missing data | - |
dc.subject.keywordAuthor | Sensitivity analysis | - |
dc.subject.keywordPlus | data analysis | - |
dc.subject.keywordPlus | materials handling | - |
dc.subject.keywordPlus | maximum likelihood method | - |
dc.subject.keywordPlus | missing data | - |
dc.subject.keywordPlus | random error | - |
dc.subject.keywordPlus | review | - |
dc.subject.keywordPlus | sensitivity analysis | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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