Applied machine learning to identify differential risk groups underlying externalizing and internalizing problem behaviors trajectories: A case study using a cohort of Asian American children.

PLoS One · 2023 · PMC9983857 · PMID 36867610

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an increasing trendno p-value reported

In contrast to the externalizing problem behavior, the trajectory of the high-risk group for internalizing problem behavior displayed an increasing trend over time, with the average scores of 1.66 (SD = 0.55) in kindergarten and 2.44 (SD = 0.55) in fifth grade, respectively.

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