Sentence examples for bivariate analysis will be from inspiring English sources
Bivariate analysis will be used to examine relationships between each potential predictor and the outcome(s) of interest.
A bivariate analysis will be performed to evaluate possible individual risk factors for preterm birth, calculating the odds ratios with their respective CI of 95% [ 23, 24].
A bivariate analysis will be performed to establish if there are any differences in the diagnostic error variables based on the heuristics identified and the independent variables.
The bivariate analysis will be contrasted using the Student's t-test or Chi-square test or a non-parametric test if a normal distribution cannot be assumed.
In addition, bivariate analysis will be peformed with comparison of proportions using the chi-square test to evaluate secondary variables of the study and variance analysis to assess the relationship between quantitative variables for both independent and paired data.
Bivariate analysis will be performed between pre- and post-intervention data, using paired t-tests for continuous variables, McNemar chi-square tests for categorical variables, and Wilcoxon matched-pairs signed-ranks tests for ordinal variables.
A descriptive univariate and bivariate statistical analysis will be performed, analysing the qualitative variables with chi-squared test and the quantitative variables with the Students-t test.
A descriptive univariate and bivariate statistical analysis will be performed, analysing the qualitative variables with the chi-square test and the quantitative variables with the Students-t test.
Bivariate association analysis will be carried out by calculating prevalence ratios and 95% confidence intervals to measure the strength of the association between each potential risk factor and the outcomes of interest.
Results from the bivariate and multivariate analysis will be compared with the baseline results.
Bivariate and multivariate analysis will be performed by means of a logistic regression model to observe the association of hypothetical risk factors of NAFL by calculating the odds ratio for each of these factors.
