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Bivariate logistic regression analyses of the different psychiatric diagnosis by the MINI or medical record were used to assess the differences in baseline demographic characteristics.
Bivariate logistic regression analyses were used to identify associations between specific variables and the likelihood of receiving a reinjection, among clients who returned to clinics late but within the two-week grace period for reinjection.
These results also persisted in the bivariate logistic regression analyses.
Two models were used in the bivariate logistic regression analyses.
We then identified candidate variables for our multivariate model by conducting bivariate logistic regression analyses.
Descriptive and bivariate logistic regression analyses were carried out with STATA 10.0.
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All independent variables that showed significant associations with suicidal feelings in the bivariate exact logistic regression analyses were analysed in separate multivariate exact logistic regression models, adjusting for sex and any depression.
Cross-sectional descriptive analyses including frequency distributions, summary statistics, bivariate and logistic regression analyses were performed.Of 269 females (79 adolescents; median age 16 years, interquartile range (IQR) = 2; 190 adults; median age 27 years, IQR = 13) evaluated, BD distribution was similar in both groups.
Bivariate and logistic regression analyses are used.
Bivariate and logistic regression analyses were performed on weighted BRFSS data.
Descriptive, bivariate, and logistic regression analyses were performed with social self-disclosure to peers with gender as covariates.
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