Sentence examples for bivariate analyses to determine from inspiring English sources

Descriptive (frequencies, percentages), preliminary bivariate analyses to determine p values (Pearson chi square test), and multivariate (binary logistic regression) analyses to determine adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) were performed using SPSS IBM Statistics Packagee for the Social Sciences, v22).

We performed univariate and bivariate analyses to determine the distribution of BHg and fish consumption in the population and to investigate differences by geography, race/ethnicity, and income.

Bivariate analyses to determine crude odds ratios were used to evaluate the degree of association between independent variables and ABs (verbal, physical and both).

Given that the unit of analysis was the household rather than individuals, we conducted preliminary bivariate analyses to determine how the single member households behaved distinctly from multiple adult households.

Next, we conducted bivariate analyses to determine associations between individual characteristics and use or perceived helpfulness of cessation methods, using chi-squared tests or Fisher's Exact test (for two-by-two contingency tables), and assessing linear trend for age.

We then conducted further bivariate analyses to determine the different rates of receipt of diabetes care and unmet health care needs among the four USC and INS groups (table not shown, available from the corresponding author upon request).

We conducted bivariate and multivariable logistic regression analyses to determine whether the odds of various indicators of diarrheal severity were elevated among episodes with less recent onset (i.e., 8 14 days before the survey) compared with those with more recent onset (i.e., 3 7 days before the survey).

Relevant variables that reach significance in bivariate analyzes, will be entered into a multiple logistic regression analyses to determine their influence on sleep outcome variables.

We performed bivariate analysis to examine associations between bypassing a nearer facility and potential predictors, and multivariate analyses to determine which predictors remained associated with bypass when adjusted for other factors.

Variables determined by bivariate analyses to be statistically associated with RVFV seropositivity (P < 0.25) were then entered into a multivariable unconditional logistic regression model.

In addition, covariates determined by bivariate analyses to be related with either BPA concentration or at least one of the outcomes with a p < 0.20 were initially included and subsequently stepwise excluded if they did not change the estimate by > 10%.