New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data.

ABSTRACT:

Background

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 yet to be identified, and there is no established method for outlying trajectories. Thus, outlier types and their effects on growth pattern detection still need to be investigated. This work aimed to assess the performance of six methods at detecting different types of outliers, propose two novel methods for outlier trajectory detection and evaluate how outliers affect growth pattern detection.

Methods

We included 393 healthy infants from The Applied Research Group for Kids (TARGet Kids!) cohort and 1651 children with

SUBMITTER: Massara P 

PROVIDER: S-EPMC10576311 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature