Sentence examples for bivariate median regression analysis from inspiring English sources

This bivariate median regression analysis showed significant differences only in energy to failure, for models that combined age-group and gender (p-value of 0.02 and 0.04, respectively).

For univariate analysis and bivariate logistic regression analysis the IRG response data from both the test and validation cohort were median centered (as log2 transformed data) and combined to calculate the IFN score for further analysis.

Acceptability was investigated by use of bivariate and regression analysis.

Results: In bivariate logistic regression analysis, all variables were significant predictors.

In the bivariate logistic regression analysis, three variables were associated with MDR as compared to susceptible TB (see Table 2).

The variables with P-value less than 0.25 in bivariate logistic regression analysis were nominated for multivariate logistic regression analysis.

Associations of patient characteristics with ECA were assessed using a series of bivariate logistic regression analysis.

Bivariate logistic regression analysis was used to identify factors associated with awareness of obstetric danger signs.

Second, bivariate logistic regression analysis of region of residence with the misconception variable was conducted.

Table 2 provides a summary of the statistically significant results of bivariate logistic regression analysis.

Bivariate logistic regression analysis was used to evaluate the effects of other categorical variables on depression.