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Categorical Data Analysis and Multilevel Modeling Using R

by Xing Liu

Student Resources

  • R Add-on Packages Required
  • Datasets for Chapter Exercises
  1. R Basics
  2. Review of Basic Statistics
  3. Logistic Regression for Binary Data
  4. Proportional Odds Models for Ordinal Response Variables
  5. Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models
  6. Other Ordinal Logistic Regression Models
  7. Multinomial Logistic Regression Models
  8. Poisson Regression Models
  9. Negative Binomial Regression Models and Zero-Inflated Models
  10. Multilevel Modeling for Continuous Response Variables
  11. Multilevel Modeling for Binary Response Variables
  12. Multilevel Modeling for Ordinal Response Variables
  13. Multilevel Modeling for Count Response Variables
  14. Multilevel Modeling for Nominal Response Variables
  15. Bayesian Generalized Linear Models
  16. Bayesian Multilevel Modeling of Categorical Response Variables

Poisson Regression Models

  • Chapter 8 Script
  • count.dta (and all other formats)

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