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Guo, G. & Zhao, H. Multilevel modeling for binary data.
We use the term "multilevel modeling" hereafter.
Multilevel modeling revealed several patient factors that predicted continuity.
LGM is also closely related to multilevel modeling [ 41, 42].
A longitudinal data analysis was performed using mixed models and multilevel modeling techniques.
Multilevel modeling relaxes the basic independence assumption of OLS models and allows for potential correlated errors of observations (Luke 2004).
Multilevel modeling for binary data was performed to estimate the associations between adolescent and parental values and adolescent problem behaviors.
Multivariate multilevel modeling (adjusted) (Table 2) showed that, after controlling for the variables that were significant in bivariate multilevel modeling.
Multilevel modeling of longitudinal data for psychotherapy researchers: II.
Multilevel Modeling Using R. 1 Unit.
This article describes two especially relevant applications of multilevel modeling.
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