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Mann Whitney U, T-tests, and one-way ANOVA were used for comparisons and standard univariate and backwards, stepwise multivariate regression analyses were used to define factors that influence airway size.
To eliminate any ordinal variation in the model, a forwards and backwards stepwise multivariate regression model was constructed to estimate variables associated with knowledge score (analysed as a continuous variable).
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Backwards stepwise multivariate logistic regression analysis was performed to identify factors associated with the acceptance of PITC.
A forwards and backwards stepwise multivariate logistic regression analysis was also undertaken to determine whether the observed univariate associations were independent of each other [ 20].
Patients' probability estimates were derived from a backwards stepwise multivariate logistic regression model, fitted on the data of all included hospitals, and using all case-mix factors mentioned above.
The study did adjust for factors that in univariate or backwards stepwise multivariate analysis were significant predictors.
Analysis of stepwise multivariate regression is reported in Table 2.
β = standardized coefficient as given by stepwise multivariate regression analysis.
Multivariate backwards stepwise logistic regression analysis was performed to identify predictors of hand washing.
A multivariate backwards stepwise linear regression model will be used to assess this question.
Multivariate backwards stepwise logistic regression analysis was performed to identify independent risk factors for the primary of being adherent or non-adherent to ART.
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