Categorical Data Analysis

Models Discussed In This Course

New stuff for a course on Categorical Data Analysis that is going to get moved somewhere else at some point.

Paper Template

These slides and handouts are free to share and download as long as you cite their source.

Not everything below is covered in the course itself, but the list below serves as a rough roadmap guide to the course.

• A Review of Descriptive Statistics, OLS and an Introduction to Stata [PDF]
• Data Visualization With Stata [PDF]
• Contingency Tables [PDF]
  • Risks and Odds [PDF] [Interactive Version]
  • Describing Odds Ratios [PDF]
  • Simpson’s Paradox in Contingency Tables [PDF]
  • Visualizing Categorical Data [PDF]
• Logistic Regression [PDF]
  • Some Stuff About Logarithms
  • Why Logistic Regression?
  • Exploring Logistic Regression
  • From Contingency Table To Logistic Regression
  • The Logistic Curve Is A Theoretical Construct
  • A Diagram Of Some Basic “Intuitions” About The Logistic Curve
  • Logistic Regression: The Basics [PDF]
  • Visualizing Odds and Risks
  • Maximum Likelihood Estimation
  • Changes In Predicted Probabilities Are Different At Different Values Of The Independent Variables
  • Predicted Probabilities and Margins [PDF] [A Substantive Example [PDF]]
  • More Thoughts on Odds and Probabilities [PDF]
  • Interactions in Logistic Regression [PDF] (new version)
  • Plotting More Complicated Margins
  • Logistic Regression Models Are Inherently Interactive [PDF]
  • Generalized Linear Models [PDF] [A Gallery of Distributions Used in GLM’s]
  • Coefficients in Logistic Regression Models [PDF]
  • Complete Separation [PDF]
  • Adding Non-Linearity To The Right Hand Side Of An Equation for Categorical Data
  • Some Thoughts on Very Large Constants and Coefficients in Non-Linear Models
• Ordinal and Multinomial Logistic Regression [PDF] (new version)
  • Cutpoints in Ordinal Logistic Regression [PDF]
• Count Regression Models [Word]
  • Poisson for Binary Outcomes
  • Comparing Statistical Models [PDF]
• Multilevel Models For Categorical Data [PDF]
• Bayesian Categorical Data Analysis [PDF]
  • A kinda new, kinda old resource: Thinking Through Bayesian Ideas
  • Bayes Theorem Applied To Data Analysis
  • Accepting The Null Hypothesis
• Survival Analysis And Event History [PDF]
  • Times, Events And Censoring
  • Reformatting Longitudinal Data As Survival Data
  • Cox Proportional Hazards Model [PDF]
  • Survival Analysis With Roman Emperors Data (Version 2)
  • Cox Proportional Hazards Model With Time Varying Covariates [PDF]
  • More on the Cox Proportional Hazards Model [PDF]

Andrew Grogan-Kaylor (GitHub, New GitHub) | agrogan@umich.edu