Chapter 16. Loglinear Models
Chapter Table of Contents | |||
---|---|---|---|
16.1 | Introduction | 553 | |
16.2 | Two-Way Contingency Tables | 554 | |
16.2.1 | Loglinear Model for the 2 × 2 Table | 554 | |
16.2.2 | Bicycle Example | 557 | |
16.2.3 | Loglinear Model for the s × r Table | 560 | |
16.2.4 | Malignant Melanoma Example | 561 | |
16.2.5 | Hierarchical and Nonhierarchical Loglinear Models | 563 | |
16.3 | Three-Way Contingency Tables | 564 | |
16.3.1 | Mutual, Joint, Marginal, and Conditional Independence | 564 | |
16.3.2 | Hierarchical Loglinear Models | 566 | |
16.3.3 | Fitting Loglinear Models | 567 | |
16.3.4 | Testing Goodness of Fit | 568 | |
16.3.5 | Job Satisfaction Example | 568 | |
16.4 | Higher-Order Contingency Tables | 574 | |
16.4.1 | Dyke-Patterson Cancer Knowledge Data | 574 | |
16.4.2 | Hierarchical Loglinear Models | 575 | |
16.4.3 | Loglinear Models with Nested Effects | 581 | |
16.5 | Correspondence ... |
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