Sentence examples for a binary multivariable regression model from inspiring English sources

The remaining (significant) factors were incorporated into a binary multivariable regression model for trauma patients.

Factors discovered to be significantly associated with sepsis were subsequently evaluated in a binary multivariable regression model in order to identify significant predictors of septic complications.

Although orthopaedic trauma status was significantly associated with postoperative sepsis for all orthopedic surgery patients using bivariate chi-squared analysis, it interestingly fell out of significance when employing a binary multivariable regression model.

A linear multivariable regression model (LMVR model) was fitted to the logarithmically transformed experimental data.

A multivariable regression model was used to assess the independent informational content of these predictors.

Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.

Table S5 Odds ratios for multivariable regression model 1 covariates.

Odds ratios for multivariable regression model 2 covariates.

† β coefficients reported from multivariable regression model.

Multivariable regression modeling of the binary response variable (progressed/not progressed) will be conducted using a logistic main-effects regression model to examine the association between insulin progression and patient-, physiciand, and healthcare environment-based factors.

Multivariable regression models estimated the associations between race and binary factors (logistic regression), and ordered categorical factors (ordered logistic regression) (Kirkwood and Sterne, 2003).