2024
DOI: 10.1037/pha0000718
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Regression tree applications to studying alcohol-related problems among college students.

Frank J. Schwebel,
Matthew R. Pearson,
Dylan K. Richards
et al.

Abstract: Machine learning algorithms hold promise for developing precision medicine approaches to addiction treatment yet have been used sparingly to identify predictors of alcohol-related problems. Recursive partitioning, a machine learning algorithm, can identify salient predictors and clinical cut points that can guide treatment. This study aimed to identify predictors and cut points of alcohol-related problems and to examine result stability in two separate, large data sets of college student drinkers (n = 5,090 an… Show more

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