Analysis of Discrete Data

Undergraduate course, NOVA IMS - Universidade Nova de Lisboa, 2020


  • To develop skills on analysis of experiments using R;
  • To understand the basic principles of likelihood-based inference and how to apply it to tests and intervals regarding population proportions;
  • To develop a critical approach to the analysis of contingency tables;
  • To examine the basic ideas and methods of generalized linear models.


  • Introduction: Distributions and Inference for Categorical Data
  • Analyzing Contingency Tables
  • Generalized Linear Models
  • Logistic Regression Models


  • Agresti, A., An introduction to categorical data analysis, 3rd Edition. John Wiley Sons, 2018.
  • Agresti, A., Categorical data analysis, 3rd Edition. John Wiley Sons, 2013.
  • Bilder, C. R., Loughin, T. M.. Analysis of categorical data with R. Chapman and Hall/CRC, 2014.
  • Adler, J., R in a nutshell: A desktop quick reference, 1st Edition, O’Reilly Media, 2010;
  • Teetor, P., R cookbook: Proven recipes for data analysis, statistics, and graphics, O’Reilly Media, 2011.