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Joint Models for Longitudinal and Survival Data [ESP72]

Course highlights



Start date

14 August 2017

End date

18 August 2017

Course days

Monday to Friday (5 mornings)

Course time

From 8:45 till 11:45


Dr. Dimitris Rizopoulos

Course fee

€ 470


Erasmus MC, Rotterdam NL




This course assumes knowledge of basic statistical concepts, such as standard statistical inference and regression models.


  • Biostatistics
  • Methodology

Course Materials

Online, download instructions will be sent in August by e-mail.

A laptop is required.

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Detailed information about this course:


Faculty: Dimitris Rizopoulos, PhD

Longitudinal and time-to-event outcomes are the main types of outcomes encountered in medical studies. Primary examples of the former are biomarkers or other patient parameters that are measured during follow-up, whereas for the latter examples include the time to relapse of the disease, time to re-operation or time to death. This course introduces a new type of statistical models that can be used to investigate the association structure between longitudinal and survival outcomes.

In terms of software, we will use R and illustrate how these models can be fitted using package JM and JMbayes.
Participants will be expected to bring their own laptop computers to the session, and to have recent versions of R
( and of R packages JM
( and JMbayes
( already installed on these computers. All necessary computer code will be provided beforehand.


- Explain when these models should be used in practice and how they can be utilized to extract relevant information from the data.
- Introduce the concept of dynamic predictions that has direct applications in personalized medicine.