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Fig. 3 | BMC Medical Research Methodology

Fig. 3

From: The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project

Fig. 3

Boxplots for gait variables identified as primary contributing variables and on which an error was identified with the multivariate data quality evaluation process. All data were adjusted for age, sex, and years of education, and normalized to have zero mean and unit standard deviation. The range of typical values identified by the univariate MCD is represented by curly brackets. Values at which an error was identified with the data quality evaluation process are represented by crossed circles. As previously noted, errors identified in the gait dataset affected multiple variables, so two variables are included per error

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