Examples of 'bivariate analysis' in a sentence
Meaning of "bivariate analysis"
Bivariate analysis is a statistical technique used to examine the relationship between two variables. It involves analyzing and interpreting the correlation or association between two sets of data. Bivariate analysis is commonly used in fields such as economics, sociology, and epidemiology to understand the dependency or interaction between two variables
How to use "bivariate analysis" in a sentence
Basic
Advanced
bivariate analysis
This can also occur in doing bivariate analysis.
The results of bivariate analysis refute our hypotheses.
The characteristics associated with polypathology in the bivariate analysis p.
After bivariate analysis was performed multivariate linear regression analysis.
The statistical analysis included calculating frequencies and bivariate analysis.
Bivariate analysis also examines the strength of any correlation.
The regression analysis confirms the findings of the bivariate analysis.
Bivariate analysis can be helpful in testing simple hypotheses of association.
Significant variables observed in the bivariate analysis were subsequently included in to the multivariate analysis.
Bivariate analysis between periods.
Age and marital status were associated with facial trauma in the bivariate analysis.
A bivariate analysis followed in which the groups infected or not were compared.
Only schooling was significantly associated in the bivariate analysis and in the initial regression models.
The bivariate analysis examined the prevalence of satisfaction in each variable studied.
A varied group of potential risk factors for postpartum IPV emerged during the bivariate analysis.
See also
On bivariate analysis for associated factors with seropositivity for toxocara spp.
Binary logistic regression was used for bivariate analysis aiming at identifying predictors for postpartum depression.
A bivariate analysis and a multiple logistic regression were executed to identify potential risk factors.
Variables associated to the outcome in the bivariate analysis P.
Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed.
The Spearman and Kendall coefficients were employed in bivariate analysis.
Bivariate analysis was developed for each dichotomously expressed exposure variable and the outcome exclusive breastfeeding.
Schooling and WC were positively associated with DBP in the bivariate analysis.
We first carried out a Bivariate analysis comparing the variables between groups.
Table 1 shows the result of bivariate analysis.
A bivariate analysis tried to identify possible factors associated with the occurrence of AR to cosmetics.
Table 1 presents the results of the bivariate analysis.
Bivariate analysis included students ' sociodemographic variables by school group.
Table 2 shows the results of the bivariate analysis.
Then the bivariate analysis was performed, with death as the outcome.
Pearson 's correlation coefficient was employed in the bivariate analysis of quantitative variables.
The bivariate analysis was performed for all variables ; those with p.
In relation to the variables under study, a bivariate analysis of the data was undertaken.
Bivariate analysis is one of the simplest forms of quantitative ( statistical ) analysis.
In fact, this variable already demonstrated a significant association in the preliminary bivariate analysis.
The descriptive analysis, bivariate analysis and multivariate analysis were performed.
Fisher 's exact test was applied in case there were associations between the variables bivariate analysis.
Subsequently, bivariate analysis was performed using depression and stress as outcome variables.
For building the model, all the variables from the bivariate analysis were tested.
The bivariate analysis consisted of comparing proportions by means of chi-square test.
Frequency distribution was researched and bivariate analysis variables through the chi-square test with a si.
The bivariate analysis with p-value was calculated using the fisher exact test.
Table 4 presents the results of the bivariate analysis between falls and the main variables.
A bivariate analysis was performed, testing the crude association between covariates and caries experience.
Table 2 shows the results of the bivariate analysis between lipid variables and abdominal obesity.
Bivariate analysis was performed to verify the factors associated with non-participation in group educational activities.
After the descriptive data evaluation, we conducted an initial bivariate analysis between exposure and outcome.
Table 2 shows the bivariate analysis between body image dissatisfaction and independent variables.
The raised indicators were analyzed statistically using bivariate analysis and a chi-square association test?
Initially, a bivariate analysis was performed to estimate associations between the primary variables in each group.
You'll also be interested in:
Examples of using Analysis
Show more
A tentative analysis leads to the following conclusions
Teach youth skills for critical analysis
A confidential analysis shows a downward trend in popularity
Examples of using Bivariate
Show more
This is a bivariate problem with multiple solutions
This can also occur in doing bivariate analysis
The bivariate systems were estimated in two steps
