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The multilevel model building begins with a null model.
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LF guided the model building.
Data analysis and model building.
The secondary outcome measures were further evaluated by building a multilevel model with time, time, and time as random factors and group (active, sham) as a fixed effect factor.
Building of the multilevel model was rather complex.
Data were analyzed using the Multilevel Model for Change framework.
multilevel model.
hierarchical or multilevel model.
Model III is a linear probability random intercept multilevel model.
The nested (i.e., multilevel or hierarchical) structure of the data was modeled using a two-level multilevel model.
Finally, Figure 3 presents the results of multilevel model analysis.
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