Sentence examples for build the final models from inspiring English sources

When computing adjusted odds ratios for non-normal birthweight, stepwise logitstic regression using forward selection was performed to build the final models (Table  2).

Using this strategy, we identified 10 clinical attributes (systolic BP, age, age of diagnosis, triglyceride [TG], white blood cell count [WBC], TC, waist to hip ratio [WHR], LDL cholesterol [LDL], diastolic BP and alcohol intake) and 5 genetic attributes (UGB G38A, LIPC - 514C >  T, APOB Thr71Ile, APOC3 3206T >  G and APOC3 1100C >  T) to build the final models.

The value that makes the model perform the best is then used to build the final model.

The combination of Support Vector Machines (SVM) classifiers is used to build the final model to generate comprehensive perception.

The optimum number of components (ONC) was used for the non-cross validation PLS analysis to build the final model with the corresponding conventional correlation coefficient (r2), standard error of estimate (SEE and the F value.

The risk factors remaining to build the final model for the drag swabs outcome were introduced into the basic model as fixed effects factors all at once.

As residues 1 40 of Ets-1 are intrinsically disordered a two-step strategy was adopted to build the final model for the ERK2Ets complex.

To build the final model the two models (A and B) were combined by first aligning them and then combining residues 1-39 from the best ranked Model B with residues 40-138 froModelel A (Fig. 3B).

To build the final model for each sex, we used the following modeling strategy.

Subsequently multivariable logistic regression was used to build the final model.

A backward selection process with inclusion criteria of P < 0.05 based on the F-test was used to build the final model.