Categorical Data Analysis

  1. Multinomial Response Models
    1. Nominal Response Models
      1. Multinomial Logistic Regression
        1. Model Structure
          1. Baseline Category Selection
            1. Parameter Interpretation
              1. Maximum Likelihood Estimation
              2. Independence of Irrelevant Alternatives
                1. Assumption and Testing
                  1. Violations and Consequences
                2. Ordinal Response Models
                  1. Proportional Odds Model
                    1. Cumulative Logit Formulation
                      1. Proportional Odds Assumption
                        1. Parameter Interpretation
                          1. Testing Assumptions
                          2. Continuation Ratio Models
                            1. Sequential Logit Models
                              1. Applications and Interpretation
                              2. Adjacent Categories Models
                                1. Model Formulation
                                  1. Comparison with Proportional Odds
                                2. Model Selection and Comparison
                                  1. Likelihood Ratio Tests
                                    1. Information Criteria
                                      1. Cross-Validation Methods

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                                    7. Logistic Regression

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                                    9. Loglinear Models