Categorical Data Analysis

  1. Loglinear Models
    1. Model Framework
      1. Poisson Regression Connection
        1. Log-Linear Formulation
          1. Cell Count Modeling
          2. Model Types
            1. Independence Models
              1. Complete Independence
                1. Mutual Independence
                  1. Conditional Independence
                  2. Association Models
                    1. Two-Factor Interactions
                      1. Three-Factor Interactions
                        1. Higher-Order Interactions
                        2. Saturated Models
                          1. Perfect Fit Concept
                            1. Parameter Interpretation
                          2. Model Fitting and Selection
                            1. Maximum Likelihood Estimation
                              1. Iterative Proportional Fitting
                                1. Model Comparison Methods
                                  1. Hierarchical Model Selection
                                    1. Backward and Forward Selection
                                    2. Parameter Interpretation
                                      1. Main Effects
                                        1. Interaction Effects
                                          1. Lambda Parameters
                                          2. Goodness-of-Fit Assessment
                                            1. Deviance Statistics
                                              1. Pearson Chi-Square
                                                1. Standardized Residuals

                                              Previous

                                              8. Multinomial Response Models

                                              Go to top

                                              Next

                                              10. Advanced Topics