Sentence examples for multivariate models the from inspiring English sources

In multivariate models the impact on SofC was examined with progressive adjustment for demographics characteristics followed by walking behavior, neighborhood design features, neighborhood perceptions and time spent traveling in a car.

For the multivariate models, the independent variables that were significant on univariate analyses were included.

In the sense of solving the problems attributed to multivariate models, the classical univariate prediction models (UPMs) were developed.

Still, it seems that for the multivariate models the fixed-date public holidays can be described slightly better, and for the univariate ones, the weekday public holidays.

Because of their collinearity, we performed two multivariate models (the first with PEEP at day 1 and the second with driving pressure at day 1) including all variables with a p value <0.2 in the univariate analysis (Table 4).

In the multivariate models, the coefficient for second generation appears to be negative, implying the existence of statistical discrimination (see, e.g., Zschirnt and Ruedin (2016) for a review of the main literature).

In this multivariate model, the strongest independent predictors of survival were (in order of statistical significance) overall stage, patient age, vascular invasion, and SI score.

After running this data through a multivariate model, the authors were able to calculate the factors that best predicted whether a marriage would end in divorce.

Therefore, in the final multivariate model, the multibacillary form was substantially associated with higher detection rates.

However, by including smoking in the multivariate model the explained variance did only increase with 1%%.

When BMI is included in the multivariate model, the association is attenuated (0.49 [0.22–1.10]; P = 0.09).