Chapter 15 - Binary and multinomial logistic regression models

Abstract

At the end of this chapter, you will be able to:•Evaluate the results of statistical tests concerning logistic models.•Develop confidence intervals of the model parameters for the purpose of prediction.•Elaborate the sensitivity analysis and understand the concepts of cutoff, overall model efficiency, sensitivity and specificity.•Interpret the sensitivity curve and the ROC curve.•Develop logistic and multinomial regression models in R and interpret their results.