Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

In the first model, where Gall is the only predictor variable (Output 39.9.1), the odds ratio estimate for Gall is 2.60, which is an estimate of the relative risk for gall bladder disease. A 95% ...

With now well-recognized nonnegligible model selection uncertainty, data analysts should no longer be satisfied with the output of a single final model from a model selection process, regardless of ...