Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

CAT × AGE, AGE × ECG

AGE

product terms
or
non-(0, 1) variables

general OR

formula

e^ bi(X^1 i–X^0 i)

Chapters

3 1. Introduction

2. Important Special Cases

When the model contains product terms, like

CATAGE, or variables that are not (0, 1), like

the continuous variable AGE, the simple for-

mula will not work if the focus is on any of

these variables. In such instances, we must

use the general formula instead.

This presentation is now complete. We suggest

that you review the material covered here by

reading the summary section. You may also

want to do the practice exercises and the test

which follows. Then continue to the next chap-

ter entitled, “Important Special Cases of the

Logistic Model”.

28 1. Introduction to Logistic Regression