Standard syllabus
Categorical data analysis · Undergraduate · Statistics
Topics
Contingency tables
- Two-way tables: independence and association
- Chi-square tests and expected counts
- Odds ratios and relative risk for 2×2 tables
- Exact tests for small samples
- Stratified tables and Mantel–Haenszel methods
Logistic and log-linear models
- Logistic regression for binary outcomes
- Multinomial and ordinal logistic models (intro)
- Log-linear models for count data
- Model selection and deviance
- Overdispersion and quasi-likelihood (intro)
Advanced categorical methods
- Repeated categorical data: GEE preview
- Matched-pair designs and McNemar's test
- Agresti-style interpretation of odds ratios
- Residual analysis for GLMs
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