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Table 3 summarizes the association between the different case-mix variables, the stages of endometriosis, and surgical outcomes, using the mixed model regression analysis (univariate and multivariate analysis).
Univariate mixed model regression analyses compared between-group volume differences.
Developmental trajectories were estimated using mixed model regression analysis.
We introduce first the mixed model regression estimator of the total and its properties.
Mixed model regression methods were used to estimate variance components for school and residual error.
Linear mixed model regression will be used to analyze safety knowledge outcome and longitudinal logistic regression models will be run for behavioral intention and safety actions.
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Multilevel longitudinal (mixed-) model regression methods (linear for numerical outcomes and logistic for dichotomous outcomes) will be used to generate estimates of effects.
Mixed-model regression analysis was used.
Mixed-model regression was used for the continuous variables, and mixed-model logistic regression was used for the dichotomous variables.
Generalized mixed-model regression revealed that there was no gender difference between PIUs and non-PIUs.
We used generalized linear mixed-model regression in order to adjust for the school clustering effect.
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mixed stepwise regression
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mixed model sensitivity
mixed linear regression
mixed model procedure
mixed Poisson regression
mixed model creation
mixed effect regression
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mixed model equation
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