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First, the basic model was built excluding the air pollution variables.
This basic model was built on by performing further regression analyses including each individual mediator grouped by mediator type (material, psychological or behavioral) to consider the individual degree of attenuation of each potential pathway on the association.
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The basic model is built following the approach and assumptions of Ghodsypour and O'Brien (2001) model.
Four basic models are built: MX1, MX2, MX3, and MX4.
First, ten basic models were build, followed by loop refinement for L3 and H3 loops, which resulted in a total of fifty models.
$$\end{document} negative predictive value = T N / T N + F N. Our basic predictive model was built using the decision stump classifier, which makes a prediction based on a single independent variable.
A basic confounder model was built for ST segment depressions > 0.1 mV without including PM, and the same model was used for the horizontal- or downward-sloping ST segment depressions > 0.1 mV.
Other basic models, including the Fermi-Dirac carrier statistics, carrier concentration-dependent, low field mobility, velocity saturation, and ray-tracing methods, were used for the simulation model, and a rigorous simulation model was built.
A complete model was built.
The model was built using SWISS-MODEL.
The model was built using MathSBML [ 77].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com