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The ISWBC is a multilevel composite model.
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They were conducted using a multilevel modeling (MLM) framework.
Responses were grand mean-centered for the multilevel regression model.
We examined this paradox using a multilevel selection model.
Consider an ordinary multilevel regression model as model 1.
Data were analyzed using a multilevel statistical model.
The multilevel logistic regression model for the STOPP composite indicator found that only the number of different repeat drug classes was strongly associated with the likelihood of receiving a potentially inappropriate indicator.
That is why a multilevel finite element model (FE2) is relevant to describe the compressive failure of composite.
multilevel model.
hierarchical or multilevel model.
Model III is a linear probability random intercept multilevel model.
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