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These results were robust and were observed across different regression models controlling the exposure level to the infection (that is, the infection load) and major confounders such as female gender and underlying comorbidities.
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The models control the interaction between the spatial component and the temporal component.
In the cable era, we found a way to establish a retail model, controlling the flow of content through pipes and selling access to consumers directly.
In the adjusted model, the effect of cohorts was controlled and all the variables were tested in the same model, controlling the effect of each other.
Likewise, the executing application model controls the instrumentation process to guide the measurement process (http://www.1dddas.org/).org/
The temperamental component of the model controls the balance of excitation and inhibition within the robot's cognitive architecture.
The regression model controls the potentially confounding effects of cohort, sex, and region of residence.
This model controls the potential effects of other variables such as age, sex, education, and medical condition.
We also reran the models controlling for the type of mental health specialist seen by the patient.
Data are based on multilevel models controlling for the intraclass correlation, all covariates, and the relevant baseline outcome measure.
Bivariate comparisons were complemented with multivariate logistic regression models, controlling for the effects of basic demographic variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com