Sentence examples for multivariate models was from inspiring English sources

Significance in multivariate models was determined using the likelihood ratio test.

However, in our study, while the duration of pre-ART immunosuppression was strongly associated with slower subsequent CD4 recovery in univariate analysis, the only independent predictor of slow recovery in multivariate models was CD4 nadir.

The significance of the current multivariate models was evaluated with the likelihood ratio test.

An analogous set of zero-order and multivariate models was built using NMF codes.

The selection of variables for multivariate models was based on a univariate analysis of each variable.

Their final inclusion in the multivariate models was based on statistical and biologic considerations (Hosmer and Lemeshow 1989).

Multivariate models were adjusted for BMI and education.

Other risk factors for resorption in multivariate models were the use of external ventricular drains and lumbar shunts.

Several multivariate models are developed to examine the significance of spatial factors in explaining life satisfaction.

Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.

Final multivariate models were adjusted for age.