Although, in Logistic Regression, modelling procedures are more complex and time-consuming, the results are more statistically robust. Moreover, Logistic Regression has the capability of associating ...

We compared conventional analytical approaches, that is, univariable (with and without multiplicity adjustment), multivariable and stepwise logistic regression, with variable selection methods: sparse ...