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An additional model was built, adjusting for EuroSCORE II, comprising 18 variables as described above.
A multivariate logistic regression model was built adjusting for basal variables.
A new model was then built adjusting for scores pooled across strata.
To determine the independent impact of being homeless on the likelihood to consult a GP, secondary care and an ED, three multiple logistic regression models were built adjusting for sex and age (see table 4).
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Therefore, as a sensitivity analysis we built adjusted models where these variables were not considered as potential confounders.
Three models were built: adjusted for age and sex only; adjusted, for age, sex, country of birth and measures of socioeconomic status (household income, educational qualification, work status); and adjusted for age, sex, country of birth, measures of socioeconomic status and lifestyle-related factors (BMI, physical activity, and smoking).
To determine the independent impact of the deprivation of the patient's neighborhood on the type of service consulted during out of hours, a logistic regression model was built by adjusting for the patient characteristics included in Table 3.
A natural cubic spline with 3 degrees of freedom was built to adjust for the potential confounding of mean temperature (4-day average) and a linear term to adjust for relative humidity (4-day average).
I'm built to adjust".
Three nonlinear controllers based on feedback linearization approaches are respectively built to adjust the voltage and pressure difference in the case of normal, membrane drying and flooding conditions.
This approach has been applied to the re-design of an actual milling machine, on which, once built and adjusted, the machining tests conducted have shown increases above 100% in productivity, consuming at the same time 13% less energy due to mass reduction above 20% in mobile structural components.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com