Interpreting logistic regression analysis. Odds, odds ratios and log odds. Logistic regression example. Subscribe to Informatics updates for FREE and get: ... Alternatively, we could fit a simple ...

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, ...

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 ...