Sentence examples for interaction of the predictor from inspiring English sources

Multicolinearlity and interaction of the predictor variables was checked until we obtained the best fitting model.

Multi-colinearlity and interaction of the predictor variables was checked until we obtained the best fitting model.

Therefore, we analysed each predictor in a separate model with PIU as the dependent variable, the predictor, gender, country, interaction of predictor with gender and interaction of the predictor with country as level 1 fixed effects and school as level 2 random intercept.

This could have potentially affected the comparability of student responses in 2013 and we formally tested for differences between both samples because of this incident by examining possible interaction effects of the predictor variables with sample (2012 vs. 2013).

20 21 The proportional hazard assumption of the Cox regression analyses was tested by adding an interaction term of the predictor and log time and by analysing Schoenfeld residuals both were found to be non-significant and satisfied the proportional hazard assumption.

In this analysis, to assess proportionality we first generate time dependant covariates by creating interactions of the predictors and a function of survival.

We also explored possible interactions of the predictors with gender and country.

Similar procedures to those for primary outcomes will be followed, that is, choose the variables without multicollinearity and those significant predictors in univariate analysis to make up the model, then include the significant interactions (warfarin×other predictors, two-way interactions of the predictors composing the CHA2DS2-VASc and HAS-BLED schemes) to finalise the model to predict death.

Moreover, given the importance and potential interactions of the predictors composing the CHA2DS2-VASc and HAS-BLED schemes (eg, sex, age, hypertension), we will also evaluate the two-way interactions along with their main effect terms if they are kept in our PLR models.

For each model, the assumption of proportional hazards was checked analytically by testing the significance of the interaction between the predictor and the log of time in the standard Cox model.

The main effects of time, as well as the interaction of each predictor with time, were tested with the Wald Chi-square statistic.