Sentence examples for analysis ages from inspiring English sources

In our analysis, ages in fibroblasts and MSC were not matched and aging in MSC might be biased by the different available sources of bone marrow in young and elderly donors as described before [14].

Cross-sectional analysis, ages 13 14 years.

Using logistic regression analysis, ages at diagnosis, presenting symptoms and disease severity at diagnosis were not significantly different between the two groups.

In multivariate analysis, age was not an independent risk factor for mortality.

For this analysis, age groups were categorized as younger than 18 years, 18 24 years, 25 54 years, and 55 years or older.

In multiple linear regression analysis, age adjusted FMD was associated only with type 2 diabetes with complications (P=0.012).

After univariate MELR analysis, age, heart rate, dose of norepinephrine, and change in norepinephrine concentration were significantly associated with haemodynamic incidents (Table 4).

In the OLS-regression analysis, age showed a negative significant correlation, whereas sex, FEV1 and diagnosis-related severity indices were not statistically significant predictors.

According to the simple regression analysis, age showed a statistically significant correlations with the presence of several bone changes ("osteophyte," "erosion," and "pseudocyst") (Table 7).

In multivariate analysis, age, sex, histological grade, and tumor stage were accounted for.

In the mixture analysis, age was included as a covariate in the models.