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In this way we will be able to not only analyze the relation between the pre-operative and overall length of stay and the predefined process and outcome indicators, but we will also be able to analyze the variation within each of the sites, and between the sites in each country using a multilevel statistical approach.
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The data are hierarchically structured and therefore multilevel models are the appropriate statistical approach [ 32- 34].
In addition, multilevel analysis is an adequate statistical approach to evaluate simultaneously the role of neighbourhood-level and individual factors on health.
Therefore the statistical approach was chosen to take into consideration the multilevel structure of data from our sample where the pen faecal samples (level 1) are nested in herds (level 2).
Furthermore, the study uses a statistical approach that accounts for country-level heterogeneity in a multilevel regression framework.
We were not able to use multilevel statistical techniques because there was not enough clustering of participants within block faces to support a robust multi-level analytic approach.
A new statistical approach.
Multilevel statistical models were used to generate absolute growth curves.
This allows a statistical approach.
Optimal Task Assignment in Multithreaded Processors: A Statistical Approach.
"Multilevel statistical modelling" section specifies the statistical methods in use.
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