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Bivariate comparisons were also computed.
Descriptive bivariate comparisons were also conducted to examine potential variations between osteoporotic subjects who received treatment and those who did not.
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Pairwise comparisons were also carried out.
Bivariate comparisons were conducted to compare demographic and drinking characteristics between the experimental and the control conditions at baseline (note that bivariate comparisons between experimental and control conditions were also conducted for problem drinker groups and low-risk drinker groups separately).
To determine independent correlates of sleep quality, variables that were correlated in bivariate comparisons were then included in a series of multivariable linear regression models.
For the adjusted models, all variables that were found to be significantly different during baseline bivariate comparisons were used as control variables.
Bivariate comparisons were evaluated using the chi-square test.
Bivariate comparisons were made using the χ test or Fisher's exact test.
Bivariate comparisons were performed using Chi-square or analysis of variance (ANOVA).
Bivariate comparisons were performed using chi-square test or independent samples t-test.
Bivariate comparisons were assessed using chi-square test and logistic regression.
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