SAS Certification Prep Guide

Chapter 10: Logistic Regression Analysis

Introduction. 317

The Logistic Regression Model 318

Development of the Logistic Regression Model 318

Syntax for the Logistic Regression Procedure. 333

Plots for Probabilities of an Event and for the Odds Ratios. 372

Logistic Regression with a Categorical Predictor 383

Effect Coding Parameterization. 384

Reference Cell Coding Parameterization. 394

The Multiple Logistic Regression Model 406

Multiple Logistic Regression by Example. 406

Variable Selection. 411

Modeling Interaction. 426

Scoring New Data. 440

The SCORE Statement with PROC LOGISTIC.. 440

Using the PLM Procedure to Call Score Code Created by PROC LOGISTIC.. 442

The CODE Statement within PROC LOGISTIC.. 444

The OUTMODEL and INMODEL Options with ...