Categorical Data Analysis
Model Structure
Baseline Category Selection
Parameter Interpretation
Maximum Likelihood Estimation
Assumption and Testing
Violations and Consequences
Cumulative Logit Formulation
Proportional Odds Assumption
Testing Assumptions
Sequential Logit Models
Applications and Interpretation
Model Formulation
Comparison with Proportional Odds
Likelihood Ratio Tests
Information Criteria
Cross-Validation Methods
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7. Logistic Regression
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9. Loglinear Models