Modeling variability in treatment effects for cluster randomized controlled trials using by-variable smooth functions in a generalized additive mixed model

Variability in treatment effects is common in intervention studies using cluster randomized controlled trial (C-RCT) designs. Such variability is often examined in multilevel modeling (MLM) to understand how treatment effects (TRT) differ based on the level of a covariate (COV), called TRT × COV. In...

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Veröffentlicht in:	Behavior research methods 2024-03, Vol.56 (3), p.2094-2113
Hauptverfasser:	Cho, Sun-Joo, Preacher, Kristopher J., Yaremych, Haley E., Naveiras, Matthew, Fuchs, Douglas, Fuchs, Lynn S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavioral Science and Psychology Cluster Analysis Cognitive Psychology Computer Simulation Humans Psychology Randomized Controlled Trials as Topic Statistical models
Online-Zugang:	Volltext
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