Sentence examples for bivariate analyses to examine from inspiring English sources

Results will be compared with bivariate analyses to examine whether death at home lost or gain significance or strength.

We next conducted bivariate analyses to examine the associations between patient physician communication and the patient's understanding of diabetes care and self-efficacy.

We calculated descriptives for the key variables, and conducted bivariate analyses to examine the associations between the independent variables and change in CRC screening intentions.

We first conducted bivariate analyses to examine the effect of each psychosocial factor on the odds of non-attendance, and then adjusted the estimates by age at baseline.

We use bivariate analyses to examine the association between the key independent variables and institutional delivery, controlling for key demographic variables described earlier and adjusting for the clustered survey design.

We used bivariate analyses to examine frequency distributions and variability and we calculated odds ratios and P values for the main outcome measure in a 1st model from simple logistic regression analyses.

Third, we conducted bivariate point pattern analyses to examine fine-scale spatial relationships between different species and size classes.

We used bivariate point pattern analyses to examine spatial relationships between large beech trees and conspecific saplings, and we also contrasted these patterns with comparable patterns for heterospecifics.

We used bivariate point pattern analyses to examine spatial relationships between large American beech trees and conspecific saplings, and we also compared these patterns to comparable patterns for heterospecifics.

We used bivariate and multivariate regression analyses to examine factors associated with tobacco use.

We used bivariate analyses to (1) examine the relationships of the 32 explanatory variables to the outcome variable, and to (2) observe the relationship between age-related licensure renewal policies and injury outcome.