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Data were analyzed using a multilevel statistical model.
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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To determine whether treatments had an effect on the rate of change in the level of HbA1c over time, we used a multilevel statistical model that included time as a continuous variable, measured in days, where 0 = baseline.
We examine the influence of meteorological data, temporal characteristics, bicycle infrastructure, land use and built environment attributes on arrival and departure flows at the station level using a multilevel approach to statistical modeling, which could easily be applied to other regions.
Interevent intervals and amplitude averages of mEPSCs and mIPSCs, and number of action potentials in response to depolarizing current injections in TrkB.T1-expressing TrkB.T1-expressingir coneuronswere compared for statistical significance by using a multileversusalysis and repeatheireasures, two-way ANOVA, respecontrols
Statistical significance was determined by using a multilevel analysis.
Statistical significance was determined by using a multilevel analysis to accommodate nested data.
All covariates were evaluated for statistical significance individually and then in a multivariable model using a multilevel Poisson regression model accounting for clustering of observations within abattoirs.
They were conducted using a multilevel modeling (MLM) framework.
We examined this paradox using a multilevel selection model.
Participants were stratified according to HIV-1 disease progression groups using a multilevel regression analysis model.
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