Biostatistics by Example Using SAS Studio

Chapter 12: Binary Logistic Regression

Introduction

Preparing the Birth Weight Data Set for Logistic Regression

Selecting Reference Levels for Your Model

Conclusions

Problems

Introduction

In the last chapter, you learned how to create multiple regression models. Conceptually, logistic regression has some similarities to multiple regression, although the computational method (maximum likelihood) is quite different (and CPU-intensive). Multiple regression uses a set of predictor variables to predict (and model) a continuous outcome variable. Binary logistic regression uses a set of predictor variables to predict a dichotomous outcome. Theoretically, a multiple regression equation can predict values from negative infinity to positive infinity—binary ...