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Statistical Analysis: Both descriptive and multivariable logistic regression analyses.
Analysis is both descriptive and multivariable.
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We analyzed the data using both descriptive and multivariate analysis.
We used procedures in SAS software V8.2 that adjust the standard error for the intra-cluster correlation [ 24] and all reported p-values and confidence intervals in both the descriptive and multivariable analyses include this adjustment.
We used Stata software version 9 (StataCorp, College Station, TX) for both descriptive statistics and multivariable regression analysis.
Descriptive and multivariable regression analyses were conducted.
Descriptive and multivariable analysis with logistic regression was realized.
Descriptive and multivariable analyses were carried out using Stata (version 12.1) statistical software [ 16].
Descriptive and multivariable analyses were performed using SPSS/PASW software (version 18.0) (SPSS Inc., Chicago, IL, USA).
We used Stata 9.3 (StataCorp LP, College Station, TX) for descriptive and multivariable regression analyses.
Descriptive and multivariable analyses assessed predictors of strong self-efficacy, beliefs or attitudes.
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