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Factors most highly associated with uterine rupture were identified by using univariate regression analysis.
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Firstly, possible associated risk factors were explored using univariate regression.
Groups were compared by using t tests, and associations were tested by using univariate linear regression (p value and standardized coefficient shown) and in a backward multiple linear regression model with the least significant variables sequentially removed, according to the log-likelihood test.
By using univariate logistic regression model, associations between all above-mentioned variables and CS were displayed.
Variable screening was performed by using univariate logistic regression with an α significance level of 0.25.
Crude ORs with 95% CIs were calculated for each factor by using univariate logistic regression.
In addition, interactions between case detection, treatment failure, and retreatment failure rates were tested by using univariate linear regression analyses.
Effects of different factors on outcome in a mixed ICU population for study population (N = 709) by using univariate logistic regression analyses.
Baseline clinical variables and B-cell subsets as predictors of response to the first cycle of rituximab were compared with non-responders by using univariate logistic regression.
Association between HH socio-demographic indexes and HH expenditure on tobacco as proportion of total monthly HH consumption was explored by using univariate linear regression analysis.
To investigate the association between survival status and each potential risk factor, odds ratios were computed and p values were evaluated by using univariate logistic regression test, where applicable [ 12].
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