Sentence examples for bivariate analyses to be from inspiring English sources
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.
Using the complete numerator relationship matrix also resulted in estimates of the trait heritability from bivariate analyses to be biased downwards ([ 11]) compared to the values used in national evaluations ([ 11], Table 2).
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%.
Descriptive and simple bivariate analyses will be performed to describe the spread of data and to establish simple associations between potential predictor variables and the relevant outcome variables.
Bivariate analyses will be conducted to examine differences in costs and effectiveness among the intervention arms.
Initially, exploratory bivariate analyses will be conducted to assess the associations between the variables of interest and the possible risk factors.
As an initial screen, bivariate analyses were conducted to identify variables that were associated with the CBT values at p < 0.20.
Descriptive frequencies and bivariate analyses were analysed to test for statistical significance by time period of VPD policy implementation (prepolicy vs postpolicy) and reported using ORs, 95% CIs and p values.
Bivariate analyses were performed to identify factors that might be associated with current participation in clinical research.
Due to differential attrition rates according to NSP status, bivariate analyses were limited to cases that completed all three interviews (n = 101, 44% of the study population).
Only variables that were found to be statistically significant in the bivariate analyses or were judged to be clinically relevant were included in the logistic regression.
