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The results were in fact better than the ones generated by the binary regression model reported in [1], although it must be kept in mind that the cases analyzed were different.
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Model 2 shows an AUR from the binary regression model of 72.3% see Figure 2.
All 21 variables were entered into a stepwise binary regression model.
Binary regression models were applied for the multivariate analysis.
Pooling of data was performed within the bivariate mixed-effects binary regression modelling framework.
For the binary outcome variables, the logistic regression models are reported.
Multivariate regression models examined reported lifetime NSSI.
A multilevel binary logistic regression model was built to account for variation between primary care practices.
Compared to the binary regression, Poisson regression model allows multiple recurrent MAARI cases for each child.
Binary logistic regression model was used for analysing data.
Univariate and multivariate analysis were conducted using binary logistic regression model.
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