Sentence examples for build the multivariate model from inspiring English sources

Backward stepwise methods were used to build the multivariate model.

In a second step, the variables that were found to be significant in the individual models were then used to build the multivariate model.

As outlined by Hosmer and Lemeshow (9 ), the 5 steps of purposeful selection are 1) test for univariate significance (p<0.25); 2) build the multivariate model (p<0.05); 3) test for confounding; 4) assess continuous variables for linearity; and, 5) test for effect modification and include interaction terms that are both significant (p<0.05) and biologically plausible.

The forward stepwise method was used to build the multivariate models, using the log-likelihood ratio statistic to assess contribution to the model.

Backward stepwise model selection was used to build the multivariate logistic regression model, and any possibility of multicollinearity was excluded from the final model.

Once again, a backward stepwise method was used to build up the multivariate model.

The same process was used to build the final multivariate model, as was done for MHS and PHS.

We built the multivariate logistic regression model and used the test set to investigate the predictors of detecting advanced neoplasia.

One of their main differences with conditional Granger causality is that they are not comparative methods but they are computed directly from the multivariate model built based on all the variables in the system.

The multivariate model was built using an a priori model building strategy developed by Greenland and colleagues [ 11].

Results regarding the first step of the multivariate model build are provided in table S1 of the Supplemental Digital Content, http://www.links.adisonline.com/APZ/A62.com/APZ/A62