4. univariable and multivariable regression; 5. common features of linear and logistic regression models; 6. interpretation of model coefficients as differences in means or odds ratios; 7. adjustment ...

Univariable and multivariable logistic regression analyses assessed the association of clinical covariates and IMDC recurrence. Results Of the 167 patients in our analysis, 32 resumed an ...

Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk ... Univariable analysis with logistic regression was conducted to assess ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...