Prognostic Research

"The methodology of prognostic research is relatively underdeveloped."

Prognosis is a key concept in patient care. However, although prognostic research is becoming increasingly important in clinical medicine, the actual methodology behind it is relatively underdeveloped. The purpose of this course is to redress this imbalance. We will therefore discuss the principles and methods of non-experimental prognostic research, together with the practice of prognostic research in a clinical setting.

Start date(s): 
Face-to-face: 16 March 2020 Online: 6 January 2020
Time investment: 
Face-to-face: Five full working days Online: three weeks, 14 hours per week
Location: 
University Medical Center Utrecht
Provider: 
Faculty of Medicine
Fee: This fee is exempt from VAT
Face-to-face: € 830 Online: € 785
Extra information: 

The face-to-face course consists of interactive lectures and computer practicals. 80% attendance is required. Students get the possibility to upgrade their mark with an exercise.

The online course includes a take home exam. No proctor is required for this exam and it is not compulsory. However, if you want to receive the Course Certificate and the credits, it is obligatory to take the exam. You are allowed to redo the exam once.

As this is a university course, it is covered by academic accreditation. Upon successful completion of this course, you will receive a recognized certificate from Utrecht University and the UMC Utrecht.   

The emphasis will be on learning about the design and statistical analysis of prognostic studies, the construction and estimation of prediction rules, the various approaches to validation, and the generalization of research results. You will also learn how to address the challenges of dealing with small data sets.

By the end of the course, you are able to:

  • Understand the key characteristics and different types of prognostic research
  • Set out the various steps involved in performing prognostic research
  • Demonstrate an insight into different types of missing values
  • Understand different ways of handling missing values in prognostic research
  • Propose different modelling approaches for prognostic research, including non-linear models
  • Make a prognostic model
  • Show how to derive a prognostic score, and choose adequate score cut-offs
  • Know how to apply modelling techniques to deal with over-fitting in small data sets.

Questions?

Please contact our Educational Office:
MSc-Epidemiology@umcutrecht.nl
088 75 69710