Sentence examples for multivariate model age from inspiring English sources

In the multivariate model, age, clinical stage, and comorbidity were found to be negatively associated with the survival rate.

In the multivariate model, age, SNP panel RR and BMI were significantly associated with breast cancer diagnosis.

In the multivariate model age, gender, being happy/not thinking about one's weight and not knowing one's ideal weight were associated with misperception.

At first, variables that were significant at P < 0.20 on the univariate analysis were entered into the multivariate model (age, erythrocyte sedimentation rate and C-reactive protein).

According to the multivariate model, age, screening results, screening methods, health-insurance status, and symptoms of indigestion were associated with follow-up interval (Table 3).

In a multivariate model age and WHO clinical stage were also associated with successful treatment outcome after adjusting for sex, HIV RNA, CD4 cell %, WAZ and HAZ [Table 4].

In all multivariate models, age and grade were the only significant predictors of survival or were nearly significant predictors of survival.

In multivariate models age, sex, and number of medicines were included as covariables.

In these multivariate models, age was significantly and negatively associated with incident A1C-DM, FPG-DM, or FPG/A1C-DM.

In multivariate models, age, smoking, BMI, systolic BP, pulse pressure, cholesterol, presence of metabolic syndrome and eGFRCKD-EPI were included.

The following confounders were included in the multivariate models: age, body mass index (BMI), Karnofsky score, presence of COPD, oxygen saturation and urea (table 3).