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Design: Demographic, premorbid, injury-related, and hospital course characteristics were compared for subjects lost and found for 1- and 2-year postinjury follow-ups by using bivariate tests and logistic regression analysis.
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Categorical variables were compared by using the chi-square test and analyzed by using bivariate odds ratios and 95% confidence intervals.
We then tested the association of enterococcal colonization with peripartal predictors/risk factors by using bivariate and multivariate statistical methods.
Individual predictors retained in the final logistic models were tested for collinearity using bivariate χ tests.
Expression correlation of αvβ6 and Ets-1 was assessed using bivariate correlation analysis by χ test.
Ages were compared using bivariate statistics, with non-parametric tests used when appropriate.
Second, we used bivariate chi-square tests, stratified by gender, to identify statistically significant distributions of covariates of interest by ethnicity (p<0.05).
Patients were compared according to their platelet count using appropriate bivariate tests.
We used bivariate probit regression to test the hypotheses empirically.
We firstly did bivariate analyses to test for associations between baseline characteristics and race by using χ tests for categorical variables and t tests for continuous variables.
The statistical analyses were performed to see the effect of the several individual characteristics on the outcomes of interest (knowledge, attitude and practices) by using appropriate bivariate analysis such as chi-square test for categorical variables and t-test for continuous variables.
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