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However, as no group level variables are included in the data, no second level predictors are estimated.
Binary conditional logistic regression was used to model the outcome as a function of the individual and environmental level predictors.
Unexpectedly, this variance component did not decrease from Model 0 to Model 3 even though the person level predictors expected significant effects.
Patient level predictors were age, sex, and polypharmacy.
Several service and patient level predictors of outcome were identified.
A multilevel statistical framework allowed the simultaneous analysis of individual level and higher level predictors.
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Fig. 2 Research model on school-level predictors for ICT use in schools and students' CIL.
In a recent review, Finn (2015) discussed several person-level predictors of low test-taking motivation.
When predicting log Gini with prefecture-level predictors, two models are used.
Other potential item-level predictors of disengagement are suggested by research on response omissions.
Rose et al. (2011) identify patient-level predictors of oral anticoagulation control in the outpatient setting.
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