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Jornal Vascular Brasileiro

Print version ISSN 1677-5449On-line version ISSN 1677-7301

Abstract

MIOT, Hélio Amante. Anomalous values and missing data in clinical and experimental studies. J. vasc. bras. [online]. 2019, vol.18, e20190004.  Epub May 30, 2019. ISSN 1677-5449.  http://dx.doi.org/10.1590/1677-5449.190004.

During 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.

Keywords : data analysis; database; outlier; multiple imputation.

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