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Analyses of the data will be performed using multilevel models.
Comparisons between countries and professions will be performed using multilevel random models using the software MLwiN (http://www.cmm.bristol.ac.uk/MLwiN/) for both binary and ordered categories.
These analyses will be performed using multilevel models (Generalized Linear Mixed Models) [ 41] in which individual repeated observations will be nested within patients.
Comparisons between and within countries and professions will be performed using multilevel models using all ordered categories and which will also include demographic and other information on participants (see below).
We argue that inter-hospital comparisons should preferably be performed using multilevel analyses, because they "minimize the impact of small sample sizes by borrowing power across the entire sample and ensuring that hospitals with small numbers are not identified as outliers because of adverse events in just a few patients" [ 10].
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The tests between phenotype and genotype were performed using multilevel or mixed modeling [67], [68].
Longitudinal analysis was performed using multilevel modelling.
Analyses were performed using multilevel logistic regression technique [ 27, 28].
In this paper, image warping is performed using multilevel B-spline interpolation function [ 23].
The regression analysis was performed using multilevel analysis [ 30, 31], due to the dependence of the observations for GPs working in the same practice.
To allow for this data structure, and the binary nature of the outcome variable (choice of psychiatry or not), the analysis was performed using multilevel logistic regression methods.
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be performed using supervised
be examined using multilevel
be performed using ANN-based
be performed using cross-sectional
be performed using topological
be assessed using multilevel
be modelled using multilevel
be performed using different
be evaluated using multilevel
be compared using multilevel
be performed using geotagged
be calculated using multilevel
be performed using functional
be estimated using multilevel
be explored using multilevel
be performed using natural
be extended using multilevel
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