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1. Foundations of Categorical Data
2. Descriptive Analysis of Categorical Data
3. Probability Foundations for Categorical Data
4. Single Variable Inference
5. Two-Variable Analysis
6. Stratified Analysis
7. Logistic Regression
8. Multinomial Response Models
9. Loglinear Models
10. Advanced Topics
11. Computational Methods
  1. Statistics

Categorical Data Analysis

1. Foundations of Categorical Data
2. Descriptive Analysis of Categorical Data
3. Probability Foundations for Categorical Data
4. Single Variable Inference
5. Two-Variable Analysis
6. Stratified Analysis
7. Logistic Regression
8. Multinomial Response Models
9. Loglinear Models
10. Advanced Topics
11. Computational Methods
  1. Computational Methods
    1. Software Implementation
      1. R Packages and Functions
        1. SAS Procedures
          1. SPSS Methods
            1. Python Libraries
            2. Large Sample Approximations
              1. Asymptotic Theory
                1. Continuity Corrections
                  1. Finite Sample Adjustments
                  2. Exact Methods
                    1. Enumeration Algorithms
                      1. Network Algorithms
                        1. Monte Carlo Methods
                        2. Bootstrap Methods
                          1. Nonparametric Bootstrap
                            1. Parametric Bootstrap
                              1. Confidence Interval Construction

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                            1. Foundations of Categorical Data

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