Statistics 346
Categorical Data Analysis
Textbook
An Introduction to Categorical Data Analysis, 3e
,
by Alan Agresti,
Wiley, 2019
author's web site
Notes
1. Introduction
2. Analyzing Contingency Tables
3. Generalized Linear Models
logistic regression model ... heart (
zip
html
)
Poisson loglinear model ... horseshoe crabs (
zip
html
)
logistic regression model ... evolution (
zip
html
)
4. Logistic Regression
logistic regression ... horseshoe crabs (
zip
html
)
inference for logistic regression ... horseshoe crabs (
zip
html
)
confidence band for
P(Y = 1)
... horseshoe crabs (
zip
html
)
categorical predictors ... marijuana (
zip
html
)
multiple logistic regression ... horseshoe crabs (
zip
html
)
color as categorical, ordinal, binary ... horseshoe crabs (
zip
html
)
predictive power ... horseshoe crabs (
zip
html
)
5. Building and Applying Logistic Regression Models
model selection ... horseshoe crabs (
zip
html
)
goodness of fit ... marijuana (
zip
html
)
residuals ... admissions (
zip
html
)
influence ... heart (
zip
html
)
6. Multicategory Logit Models
multicategory logit model ... alligators (
zip
html
)
multicategory logit model ... afterlife (
zip
html
)
cumulative logit (ordinal response) model ... political views (
zip
html
)
cumulative logit (ordinal explanatory and response variables) model ... happy (
zip
html
)
7. Loglinear Models for Contingency Tables and Counts
loglinear model ... happy heaven (
zip
html
)
three-way contingency tables ... drugs (
zip
html
)
three-factor interactions ... accidents (
zip
html
)
8. Models for Matched Pairs
9. Marginal Modeling of Correlated, Clustered Responses
10. Random Effects: Generalized Linear Mixed Models
11. Classification and Smoothing
12. A Historical Tour of Categorical Data Analysis
