Sentence examples for models these variables from inspiring English sources

For the eGFR < 75 <span class="lh">models, these variables were missing in 16% of the high-risk APOL1 group compared to 10% of the low-risk group.

In multivariate models these variables provide an overall falls risk score, and can predict those at risk of falling with 75% accuracy in community and retirement village settings.

For the ACR models, these variables were missing in 25% of the high-risk APOL1 group compared to 15% of the low-risk group.

As patient-related and chemotherapy-related factors were already established as risk factors in several previous risk models, these variables were entered into the model first, ordered according to the p-value obtained in univariable analysis.

Variables in the VDPP data set that were 1) associated with both 25(OH D and kidney cancer or 2) identified based on the literature as risk factors for kidney cancer, or both, were included in the fully adjusted models; these variables were education, body mass index, height, smoking status, current alcohol drinking, history of high blood pressure; and history of diabetes.

However, when these decisions were forced in the final model, these variables did not change this later.

Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices.

Along with other variables in a biopsychosocial regression model, these variables accounted for 27% of the variance in gestational weight gain and were also significantly related to risk of inadequate and excessive gain.

We performed logistic regression analysis to model these variables against hospital mortality.

When age, creatinine clearance, troponin, or sepsis was forced into the final model, these variables did not change the model.

The adjusted ORs reported in Table 2 did not significantly change when we modeled these variables with SO2 or PM10.