Mixed effect gradient boosting for high-dimensional longitudinal data

Mixed effect gradient boosting for high-dimensional longitudinal data

Abstract High-dimensional longitudinal data present significant analytical challenges due to intricate within-subject correlations and an overwhelming ratio of predictors to observations. To address these challenges, we introduce Mixed-Effect Gradient Boosting (MEGB), a novel R package that synergis...

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Bibliographic Details
Main Authors: Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Nada MohammedSaeed Alharbi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Mixed Effect Model
Longitudinal Data
Gradient Boosting
High-dimensional Data
Online Access:https://doi.org/10.1038/s41598-025-16526-z
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https://doi.org/10.1038/s41598-025-16526-z

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