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All others were excluded from models after determining whether inclusion changed coefficients by > 10%.
Sensitivity analysis controlling for household income, years of school, and BMI did not indicate confounding because these factors changed coefficients far less than 10% and so they were not included in the final models.
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Inclusion of abstinence as a covariate did not change coefficients; therefore, it was not retained in models.
We calculated sensitivity to change coefficients using Cohen's effect size, to assist with interpretation of the results.
In a chemical equation, you can change coefficients, but you must never alter the subscripts.
Confounding variables were identified as variables that, once removed, changed β coefficients by more than 10%.
Variables that changed regression coefficients by more than 10% were included in the adjusted model.
Therefore, appropriate coefficients for junctions should be named as head change coefficients.
Head change coefficients for dividing and combining flows in a T-shape micro-junction are determined for both branches and discussed with respect to their physical meaning.
Change coefficients included the SRM [ 1], Norman's Srepeat [ 28], and an unnamed correlation coefficient.
This has often resulted in a battery of change coefficients being applied to the same data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com