Introduction to Categorical Data Analysis with R

Introduction to Categorical Data Analysis with R

  • 19/10/2020 - 23/10/2020
    9:30 am - 4:30 pm

Course details

statistics course | level: advanced | register now
affiliation: KU Leuven


This course provides an overview of Categorical Data Analysis. The course will take place on three days. Each day will involve both theoretical and practical sessions, and during the latter the most important R packages for categorical data analysis are presented. Because of the history of Categorical Data Analysis, most of the applications will come from the Social Sciences or the Humanities.

On the first day, the fundamental concepts of categorical data are introduced, such as joint probability, conditional probability, marginal probability, and stochastic (in)dependence. The rational of Pearson’s chisquare test will be explained, followed by the introduction of the bivariate loglinear model (independence,

The second day starts with the exposition of Log-linear Analysis as the technique for modelling the associations or (conditional) independence in multiway tables. The hierarchical principle in modelling will be explained, along with commonly used statistics for model selection such as BIC and AIC. Considerable time
will be spend on interpreting parameters in the Log-linear model. Extentions of the model to the analysis of ordinal variables will be discussed, for instance linear-by-linear association.

The third day consists of explaining the relation of Log-linear Analysis to various Generalized Linear Models for categorical data. Attention will mostly be paid to Poisson regression and logistic regression, but Negative Binomial regression for over-dispersed data will also be covered.

Following a possible change in the current pandemic situation and new government regulations, it is possible that the seminar will be organized remotely.
Due to Corona regulations, the maximum number of participants is 20. You will have to wear a mouth cap for the entire seminar.


Understanding of basic inferential statistics: hypothesis testing (e.g. t-tests), p-values, statistical significance is MANDATORY.
This course is not an introduction to R! Basic/fair knowledge of R (vectors, indexing, functions, ...) is MANDATORY.

Background readings

Agresti, Alan (2013). Categorical Data Analysis. Third Edition. Hoboken, New Jersey: John Wiley & Sons.


PhDs and postdocs of a Flemish University: € 0 Other academics: € 180 Non-profit/Public sector: € 300 Private sector: € 600


Attention! A change of venue is possible and you will be notified by email.

October 19, 2020:
Classroom 00.18
200B Instituut voor Wiskunde
Celestijnenlaan 200b

October 22 & 23, 2020:
Classroom 01.73
200G Kandidatuur Scheikunde
Celestijnenlaan 200g

Both rooms are located in KU Leuven Campus Arenberg III.


dr. Jarl Kampen & Cristina Cametti

Sign up (price ticket depends on affiliation)

You will receive payment details later from the organiser by email.