Sentence examples for models regression was from inspiring English sources

Mixed models regression was used to compare plans for bowel and rectal volumes exposed to 35% (V35%), 65% (V65%), and 95% (V95%) of the prescribed dose.

Mixed-model regression was used for the continuous variables, and mixed-model logistic regression was used for the dichotomous variables.

Linear mixed model regression was used to analyze changes over time in plasma FABP levels.

In the GWAS, a linear mixed-model regression was performed, assuming an additive genetic model.

This linear model regression was validated by residual analysis (R2 = 715,415; F1,25 = 30,597 e P << 0,001) as represented in fig. 2B.

The results of the generalized mixed-model regression are presented in Table 4.

The full-model regressions were followed by separate tests of 42 and 45 °C heat challenge.

As in the first model, linear regression was used to relate temperature with latitude, longitude and elevation.

Mixed-model regression analysis was used.

Mixed model regression analysis was performed using SAS 9.2 PROC MIXED.

Logistic regression model or binomial regression model was used to estimate the relative risk (RR) directly.