Prognosis Research (online)

Prognosis is a key concept in patient care. The methodology of prognostic research is however relatively underdeveloped. This is in contrast to its growing importance in clinical medicine. In the course, principles and methods of non-experimental prognostic research will be discussed. In lectures, practical exercises and discussion of examples, the practice of prognostic research in a clinical setting is addressed. Emphasis will be on design and statistical analysis of prognostic studies, construction and estimation of prediction rules and approaches to validation and generalization of research results. Problems with small datasets will be extensively discussed.

By the end of the course, you should be able to:

• Understand the key characteristics and different types of prognosis research.
• Set out the various steps involved in performing prognosis research.

In particular, you should be able to:

• Demonstrate insight in the key characteristics and different types of prognosis research.
• Distinguish the different steps of performing prognosis research.
• Demonstrate insight in different modelling approaches for prognosis research.
• Construct a prognostic model.
• Know how to apply modelling techniques to deal with overfitting in small datasets.
• Know differences in modelling with binary, time-to-event, and categorical outcomes.

3 weeks, 14 hours per week

Please note, even though you can manage your own time our courses are not intended as individual education. By learning together you will gain depth in your learning process, which is very important. Therefore flexibility from students, a positive attitude towards teachers and peers and the willingness to learn together and help each other is invaluable to our courses