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Indeed, by dividing income levels into two main categories (low and low-medium vs high and high-medium), in the fully adjusted model, education was positively associated with dietary patterns both in the lowest (MDS: p=0.032 and IMI: p=0.0025) and in the highest income groups (MDS: p=0.0067 and IMI: p=0.0010).
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From the logistic models, education was not associated with risk of death after accounting for the other covariates.
In both models, education is found to be positively correlated with individuals' interest in politics: educated individuals are indeed more likely to declare being close to or member of a Malian political party than individuals with no education.
In particular, three practical approaches to modeling education are discussed with several examples.
When demographic characteristics and other measures of socioeconomic position were added to the model (Table 4 Model 2), education was no longer a significant risk factor for violence.
When risk factors of child mortality are introduced alone in the odds ratios model, maternal education was found to have a significant effect: infants born to mothers of higher education have higher odds of surviving.
In model 2, education was added.
In the final model, diabetes education was associated with lower odds of readmission (0.66 [0.51–0.85]; P = 0.001) (Table 2).
For each independent variable, two models were fitted: a model including all independent variables except for education (model A) and a subsequent model in which education was added as an explanatory variable (model B).
The military model of education is recognized among educators and power brokers alike as an effective way to train students.
Importantly, the Western model of science education was deployed as a vehicle to restructure the education system to realize the vision for democracy and economic development.
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CEO of Professional Science Editing for Scientists @ prosciediting.com