Multivariable logistic regression: this, in contrast to simple logistic regression where only one explanatory variable is included, is when more than one explanatory variable is modeled and effects of ...

We apply an alternative statistical method, logistic regression, to estimate the strength of selection on multiple phenotypic traits. First, we argue that the logistic regression model is more ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...

Odds of SBC were tested for various risk factors individually using univariate logistic regression. In addition, a multivariate regression model was developed to test the odds of developing SBC while ...

First off, you need to be clear what exactly you mean by advantages. People have argued the relative benefits of trees vs. logistic regression in the context of interpretability, robustness, etc.