Sentence examples for bivariate analysis to estimate from inspiring English sources

We used bivariate analysis to estimate odds ratios (ORs) with 95% confidence intervals (CIs).

Poisson regression with robust estimation of variance was used in bivariate and multivariable analysis to estimate the prevalence ratios (PR) of the independent variables (socioeconomic and demographic factors) in relation to the outcomes, with the dependent variables (dietary patterns) being classified as dichotomous: 1st, 2nd and 3rd quartiles of consumption and high consumption (4th quartile).

Variables with p <0.05 in bivariate analysis were taken to multivariate analysis to estimate hazard ratios with 95% confidence intervals for the mortality rate among children on ART for the covariates at their ART initiation.

We carried out a meta-analysis to estimate sensitivity and specificity of rapid tests, using a bivariate normal model with a complementary log-log link function.

We also used bivariate analysis to examine associations with socioeconomic indicators (Table 3).

We used analysis of variance for bivariate analysis to explore associations and potential confounders.

After bivariate analysis to test the hypotheses using Pearson correlation, we performed multiple regression analysis.

We used univariate and bivariate analyses to describe the magnitude and pattern of abuse in the sample and bivariate analysis to identify risk factors for abuse.

We used bivariate analysis to compare adults hospitalized with influenza with and without pneumonia.

Bivariate analysis was performed to estimate the genetic correlation between novelty seeking scores within and between environments, using SOLAR.

We used bivariate logistic regression to estimate the crude associations between each exposure variable and IPV, and to select variables for the multivariate analysis.