Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data.

Objective: Decision-tree methods are machine-learning methods which provide results that are relatively easy to interpret and apply by human decision makers. The resulting decision trees show how baseline patient characteristics can be combined to predict treatment outcomes for individual patients,...

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Publicado en:	Psychotherapy Research Vol. 31; no. 3; pp. 313 - 326
Autores principales:	Fokkema, Marjolein, Edbrooke-Childs, Julian, Wolpert, Miranda
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Mar2021
Materias:	United Kingdom Longitudinal method Random forest algorithms Decision trees Trees Treatment effectiveness
Acceso en línea:	Ver este registro en EBSCOhost