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Fig. 1 | BMC Medical Research Methodology

Fig. 1

From: Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system

Fig. 1

Flowchart for the construction of the datasets used for the assessment of the population and longitudinal outliers. Notes: ‘SISVAN initial database’ refers to the extracted database after removing duplicates and children with a single measurement. SISVAN: Brazilian Food and Nutrition Surveillance System, L/HAZ: length/height-for-age z-score, WAZ: weight-for-age z-score, n: number of children, N: number of measurements

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BMC Medical Research Methodology

ISSN: 1471-2288

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