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Our multivariable models did adjust for these demographics factors.
Third, adding baseline eGFR to the multivariable models did not substantially change results.
Nevertheless, controlling for these factors in multivariable models did not alter our conclusions.
Adjusting for number of children in the multivariable models, did not affect any of the estimates.
However, the logHR of depression among non-whites in multivariable models did not achieve statistical significance (p range 0.16 0.24).
The addition of smoking during pregnancy and prenatal care visit into the multivariable models did not change these associations.
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Inclusion of atrial fibrillation during follow-up in the multivariable model did not affect the significance of treatment assignment as a predictor of thromboembolism.
Addition of bilirubin, GGT, and albumin to the multivariable model did not significantly change the statistical association (p<0.0001) (Table 2).
The multivariable model did not include seven patients because of missing data.
Because of the strong correlation between MET and HGF, multivariable model did not include both biomarkers at the same time.
However, the inclusion of ethnicity in our final multivariable model did not attenuate the relationship between dialysis and foot ulcers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com