Sentence examples for multivariate model respectively from inspiring English sources

The first two examples show how the impeller torque can be modelled and predicted in the dry and wet mixing phases of the high shear granulation process, using a solid mechanics and a hierarchical multivariate model, respectively.

The result of the evaluation of the models showed that the mean absolute error rates were less than 9.84% and 11.36% on average for the capital and operating costs of the uni-variate model, and 5.82% and 4.9% for the multivariate model, respectively.

Univariate and forward stepwise (entry probability = 0.05, removal probability = 0.1) logistic regression were subsequently performed to assess the contribution of each associated marker and to identify the most predictive multivariate model, respectively.

Although neither factor was significantly associated to goal achievement, the odds of having above-median goal achievement were much higher in those hospitals with high self-efficacy scores (OR = 4 and OR = 10.55 for the simple and multivariate model, respectively) (Table  6).> -wrap-foot> †Logistic regression analysis: All variables dichotomized at median, except state.

Point estimates for the effect of previous infection(s) on the subsequent ones, calculated according to standard Poisson regression, were 1.49 (95%CI 1.41-1.57; p < 0.001) and 1.59 (95%CI 1.50-1.68; p < 0.001) in univariate and multivariate model respectively; this is a risk increment of about 60% for the next infection after a previous one.

Associations with irreversible bowel ischemia were with gender (p-value, 0.03), while lactate had a persistently significant p-value (0.001 and 0.009) in both univariate and multivariate models, respectively.

Using Epi Info (Centers for Disease Control and Prevention, Atlanta, GA, USA), we calculated matched unadjusted and adjusted odds ratios by using bivariate and multivariate models, respectively, to identify risk factors for cholera.

There was no association of HAART adherence or depressive symptoms with non-AIDS death in univariate or multivariate models, respectively; thus the multivariate model of time to non-AIDS death adjusting for time-dependent adherence to HAART is not presented.

Baseline characteristics were tested as predictive factors of serological failure using a univariate and multivariate logistic regression model, respectively.

Crude or unadjusted and adjusted relative risks (RRs) with 95% confidence intervals were estimated from the univariate and multivariate GEE models respectively using binomial distribution with log link function [ 34].

Her2 and PR statuses were significant in the multivariate model (P=0.03 and P=0.02, respectively), suggesting that both Her2 and PR statuses are independent measures of tumour aggressiveness, and that the groups found do provide additional information to ER status alone.