Sentence examples for multivariate models were from inspiring English sources

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.

Final multivariate models were adjusted for age.

Multivariate models were built using backstep stepwise techniques.

Both univariate and multivariate models were developed to determine predictors of patient LOS.

Overall, the multivariate models were appropriate with the data available for the study.

Finally, the multivariate models were formulated.

Using these predictors, saturated multivariate models were constructed and subsequently reduced by backward elimination techniques.

The multivariate models were adjusted for age, gender, race/ethnicity, smoking status, and alcohol intake.

The values for univariate and multivariate models were calculated as the conditional regression model described earlier.

NNRTIs or PIs in the univariate and multivariate models were not significantly associated with weight gain.