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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
Computational Methods
Software Implementation
R Packages and Functions
SAS Procedures
SPSS Methods
Python Libraries
Large Sample Approximations
Asymptotic Theory
Continuity Corrections
Finite Sample Adjustments
Exact Methods
Enumeration Algorithms
Network Algorithms
Monte Carlo Methods
Bootstrap Methods
Nonparametric Bootstrap
Parametric Bootstrap
Confidence Interval Construction
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10. Advanced Topics
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1. Foundations of Categorical Data