Do you work with binary or categorical outcome variables? Logistic regression is one of the most widely used statistical methods for analysing categorical data and is an essential technique in many research fields, including the life sciences, social sciences, economics, and public health.
This two-day course provides a practical introduction to logistic regression, with an emphasis on understanding the method, interpreting the results, and applying it to real-world research questions. Participants will learn when logistic regression is appropriate, how to build and evaluate regression models, and how to interpret odds ratios, predicted probabilities, and measures of model performance.
The course combines concise theoretical explanations with practical exercises. Throughout the training, analyses are performed using R, allowing participants to immediately apply the concepts to realistic datasets.
Although a basic understanding of statistics is recommended, no advanced mathematical background is required.
More information:
Course contents
- Lecture 1
- Introduction to categorical variables
- The odds ratio
- Stratified analysis
- Simple logistic regression
- Lecture 2
- Multiple logistic regression
- Prediction using logistic regression
- ROC curves
- Checking the validity of a model
Time and Place
Time: Monday November 23 and Tuesday November 24.
This course will be taught ONLINE from 9.30 until 16.00 each day at the latest, with a one-hour lunch break around 12.00.
Target audience / prerequisites
Instructors
Dr. Annelies Agten
Price
| PhD student ADS | € 50 |
| UA-affiliated | € 90 |
| Academic non-UA | € 160 |
| Nonprofit/public sector | € 250 |
| Private sector | € 500 |
Exam
For this course, we offer the possibility to take an exam.
For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form.
Participating in the exam costs 10€, which is deduced automatically from your educational credit.