Sentence examples for multivariate model on from inspiring English sources

However, kinesiophobia did not contribute to the multivariate model on non-recovery [ 7].

When testing is performed for a multivariate model on the validation data, the omics score may have a significant p-value but show poor or no added predictive value when measured using criteria such as the Brier score.

In a nutshell, our study based on two recent leukemia datasets outlined that:  When testing is performed for a multivariate model on the validation data, the omics score may have a significant p-value but show poor or no added predictive value when measured using criteria such as the Brier score.

Subsequently, independent variables of interest (p-value < 0.10) were included in the multiple regression analysis for each physical outcome measure and variables were retained in the final multivariate linear regression model when statistically significant (p < 0.05) or statistically significant in a multivariate model on another outcome measure.

Age, sex, and CD4 count were included in the multivariate models on a priori grounds.

Nonsignificant variables were dropped sequentially from the multivariate models on the basis of their Wald scores.

Plasma 25-hydroxyvitamin D exhibited a normal distribution and entered the multivariate models on a continuous scale.

Using multivariate models on CHAMACOS data adjusted for the same covariates as Dewailly et al. (1993b), we found that a 10-fold increase in maternal serum levels of HCB was associated with a nonsignificant 0.30 cm decrease in crown heel length for males (95% CI, −1.27 to 0.66).

AZT MDA was associated with a minimum reduction of 66% in odds of P. falciparum infection compared with odds of reduction for controls in the first month after drug administration, as shown by univariate and multivariate models on an individual level.

Features retained in the multivariate model were: on-going PEG feeding at 3 months and weight change from 3 weeks to 3 months together explaining 49% of the variation in the model.

Because of the high level of co-linearity between clinical infection and carbapenem exposure, only the latter variable was included in the multivariate model based on its lower p value on univariate analysis.