Content:
Chapter 1 Basics of Hierarchical Log?Linear Models (pages 1–11):
Chapter 2 Effects in a Table (pages 13–22):
Chapter 3 Goodness?of?Fit (pages 23–54):
Chapter 4 Hierarchical Log?Linear Models and Odds Ratio Analysis (pages 55–97):
Chapter 5 Computations I: Basic Log?Linear Modeling (pages 99–113):
Chapter 6 The Design Matrix Approach (pages 115–132):
Chapter 7 Parameter Interpretation and Significance Tests (pages 133–160):
Chapter 8 Computations II: Design Matrices and Poisson GLM (pages 161–183):
Chapter 9 Nonhierarchical and Nonstandard Log?Linear Models (pages 185–253):
Chapter 10 Computations III: Nonstandard Models (pages 255–275):
Chapter 11 Sampling Schemes and Chi?Square Decomposition (pages 277–292):
Chapter 12 Symmetry Models (pages 293–311):
Chapter 13 Log?Linear Models of Rater Agreement (pages 313–330):
Chapter 14 Comparing Associations in Subtables: Homogeneity of Associations (pages 331–343):
Chapter 15 Logistic Regression and Other Logit Models (pages 345–369):
Chapter 16 Reduced Designs (pages 371–385):
Chapter 17 Computations IV: Additional Models (pages 387–424):
