Chapter 10
Loglinear Analysis of Contingency Tables
10.2 A Loglinear Model for a 2 × 2 Table
10.3 Loglinear Models for a Four-Way Table
10.4 Fitting the Adjacent Categories Model as a Loglinear Model
10.5 Loglinear Models for Square, Ordered Tables
10.1 Introduction
In Chapter 4, we saw how to analyze contingency tables that included a dichotomous variable treated as dependent on the other variables. The strategy was to directly estimate a logit model in PROC LOGISTIC. We extended that approach in Chapter 5 to handle dependent variables with more than two categories by estimating a multinomial logit model with PROC LOGISTIC. In this ...
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