Sentence examples for multivariate models achieved from inspiring English sources

All locally-estimated multivariate models achieved better discrimination power when compared to model that used FPG only (all P < 0.001, Table 4), while the locally-estimated Framingham model is the only one that was not statistically better than model that used only 2hPG (P = 0.110).

In this study, multivariate prediction models achieved a higher level of accuracy than narrow-band vegetation indices, making multivariate modeling the best choice for mapping.

The multivariate models that achieved statistical significance were limited due to the multicollinearity of independent variables.

The multivariate model showed that achieving a complete response marginally predicted a better OS (P=0.041).

In the multivariate models, the outcome variable is the number of achieved or performed verification criteria in a standard.

Multivariate models may be further developed for use in surgery planning to achieve optimal component placement.

Moreover, the multivariate models identify the nonmodifiable demographic and weight history factors and the modifiable psychological and behavioral factors that independently influence success in achieving weight loss.

Although the AUC for all three locally-estimated multivariate models were slightly higher than the corresponding statistic for their published counterpart, only in the case of SAHS model did this difference achieve statistical significance.

Multivariate models were built using backstep stepwise techniques.

Age-stratified multivariate models are presented for month of visit.

Finally, the multivariate models were formulated.