Suggestions(1)
Exact(6)
Adjusted odds ratios were calculated from a multivariable logistic regression model that included Charlson comorbidity score (modelled as an integer-valued quantitative variable), age at diagnosis (expressed in years), and race (white vs non-white).
Propensity scores for undergoing amputation were derived from a multivariable logistic regression model of amputation.
†Adjusted odds ratios and exact 95%CI from a multivariable logistic regression model.
Results from a multivariable logistic regression model are summarized in Table 3.
We calculated beta coefficients and standard errors for high risk associated with each pre-specified Medicare variable from a multivariable logistic regression model.
The use of heart rate as a prognostic indicator for surgery is less well documented; it was omitted from a multivariable logistic regression model by Reeves et al. [ 33] despite being used in the death/survival model in the same study.
Similar(54)
Cases and controls were compared; significant variables from univariable regression were adjusted in a multivariable logistic regression model.
All 14 preselected diagnostic predictors from history taking and physical examination were entered in a multivariable logistic regression model.
Finally, a multivariable logistic regression model was built using variables remaining from the tabular and univariate analyses.
Significant variables from univariable regression, or those factors that were plausible confounders were included in a multivariable logistic regression model using a stepwise method.
Factors associated with ICU mortality were identified through a multivariable logistic regression model.
Write better and faster with AI suggestions while staying true to your unique style.
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