Anomalous values and missing data in clinical and experimental studies

Valores anômalos e dados faltantes em estudos clínicos e experimentais

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:42:04Z
dc.date.accessioned2022-12-19T18:55:24Z
dc.date.available2019-10-06T16:42:04Z
dc.date.available2022-12-19T18:55:24Z
dc.date.created2019-10-06T16:42:04Z
dc.date.issued2019-01-01
dc.identifierJornal Vascular Brasileiro, v. 18.
dc.identifier1677-7301
dc.identifier1677-5449
dc.identifierhttp://hdl.handle.net/11449/189481
dc.identifier10.1590/1677-5449.190004
dc.identifierS1677-54492019000100405
dc.identifier2-s2.0-85070102265
dc.identifierS1677-54492019000100405.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5370519
dc.description.abstractDuring analysis of scientific research data, it is customary to encounter anomalous values or missing data. Anomalous values can be the result of errors of recording, typing, measurement by instruments, or may be true outliers. This review discusses concepts, examples and methods for identifying and dealing with such contingencies. In the case of missing data, techniques for imputation of the values are discussed in, order to avoid exclusion of the research subject, if it is not possible to retrieve information from registration forms or to re-address the participant.
dc.languageeng
dc.languagepor
dc.relationJornal Vascular Brasileiro
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectData analysis
dc.subjectDatabase
dc.subjectMultiple imputation
dc.subjectOutlier
dc.titleAnomalous values and missing data in clinical and experimental studies
dc.titleValores anômalos e dados faltantes em estudos clínicos e experimentais
dc.typeOtros


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