Sentence examples for models identified age from inspiring English sources

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The multivariate logistic regression models identified age (being older) and gender (being a woman) as risk factors for poorer HRQoL.

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This model identified age, treatment, tumor location, and tumor size as significant predictors.

The multivariate Cox regression model identified age, smoking, and 3-vessel disease as significant predictors of all-cause death.

The multivariate stepwise Cox regression model identified age, smoking, and three-vessel disease (compared to one vessel disease) as significant predictors of all-cause death.

The statistical model identified age (as represented by session number) and two measurement points, which were the best predictors of fat-index.

The results of the Cox model identified age at diagnosis, stage of tumor, tumor size, histological subtype and treatment as important predictors of RMS survival in pediatric patients.

In contrast, the logistic regression model identified age of head of household as the only variable having an independent and significant contribution to the prediction of household participation in UPA in Sikasso.

The forward addition and backward deletion based on the final base model identified age and body weight as statistically significant covariates for vismodegib disposition parameters (CLunbound and Vc) (Eq. (5)), and this model was referred to as the final PopPK model.

The adjusted model identified age (β = −0.156, p  < 0.05), presently in school (β = 0.082, p  < 0.05), household size (β = 0.199, p  < 0.001) and number of siblings (β = −0.153, p  < 0.001) as an important socio-demographic covariate for levels of social support among other-orphaned children.

These results were confirmed with a negative binomial regression model that identified age and hs-CRP as the best fit to these count data, predicting a 12% increase in pain frequency for every year of age, and a 6·6% increase in pain frequency for every 1 mg/l increase in hs-CRP (Table IV).

The final adjusted model also identified age (β = −0.135, p  < 0.05), presently in school (β = 0.071, p  < 0.05), household size (β = 0.190, p  < 0.001) and number of siblings (β = −0.183, p  < 0.001) as an important socio-demographic covariate for levels of social support among AIDS-orphaned children.

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