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Variables with a P < 0.200 in the univariate analysis were included in the multivariate stepwise non-automatic model.
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univariately non-significant and was not considered in the multivariate stepwise logistic regression analysis.
Scale scores were compared with non-parametric Mann-Whitney and Kruskal-Wallis tests and multivariate stepwise linear regression analyses were used to investigate the effect of sociodemographic and diabetes-related variables on HRQOL.
A multivariate stepwise logistic regression was then performed to evaluate each of these as independent predictors.
Results: A multivariate stepwise linear regression equation revealed that episiotomy adds nearly 3 cm to perineal lacerations.
Specific non-automatic hydrogen count.
We performed multivariate, stepwise (forward) logistic regression.
Multivariate stepwise logistic regression analysis was performed.
Effects of covariates were assessed by multivariate stepwise logistic analysis.
Afterwards, multivariate stepwise regression analyses were carried out.
Multivariate stepwise logistic regression analyses were performed by using SAS statistical software (SAS Institute, Cary, NC, USA).
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