Sentence examples for between each predictor of from inspiring English sources

Bivariate analyses using t-test and chi-square tests have been conducted in order to assess the association between each predictor of interest and the outcomes of interest and those with a p-value of 0.25 or better were considered for possible entry in the multivariate linear and logistic regressions equation.

Next, bivariate regression analyses were run to examine the relationships between post-AUDIT scores and each predictor of interest: pre-AUDIT scores; any recent IPV; and any childhood abuse.

Results: Pearson's correlations between each predictor variable of IM temperature during cryotherapy were skin temperature, r =.46; skinfold, r =.37; time, r = −.59; core temperature, r =.21; and room temperature, r = −.47.

Unadjusted analyses will be performed to determine the association between each predictor variable of interest and fracture outcome.

We used GAM to graphically display the relationship between each predictor and evolution of COPD, the selected outcome of interest [ 25].

Qualitative studies were excluded because this review aimed to quantify the number of studies reporting a statistically significant relationship versus the number of studies finding no significant relationship between each possible predictor of nonadherence and nonadherence.

Generalised additive models (GAM) was used to evaluate the functional form of the relationship between each predictor and the probability of successfully establishing a new hESC line.

After a graphical analysis to visually explore the relationship between each predictor and the presence/absence of bats, we tested it using univariate logistic regressions [59].

We then calculated the standardized coefficients, which facilitates an assessment of the strength of association between each predictor variable and the response variable.

Next, bivariate linear models were used to estimate the crude association between each predictor and the negative consequences of substance use, and multivariable linear models were used to estimate the independent effect of each predictor controlling for the remaining variables.

We first examined the relationship between each predictor variable and the adoption of at least a "basic" EMR using chi-squared statistics.