New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data
<strong>Background<br></strong> Growth studies rely on longitudinal measurements, typically represented as trajectories. However, anthropometry is prone to errors that can generate outliers. While various methods are available for detecting outlier measurements, a gold standard has...
| Main Authors: | , , , , , , , , , |
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| 格式: | Journal article |
| 語言: | English |
| 出版: |
BioMed Central
2023
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