Joint Models for Longitudinal and Survival Data [ESP72]
Course highlights
EC points
0.7
Start date
23-08-2021
End date
27-08-2021
Course days
Monday to Friday (5 mornings)
Faculty
Prof. Dimitris Rizopoulos, PhD
Course fee
€ 490
Location
Online
Level
Intermediate
Prerequisites
This course assumes knowledge of basic statistical concepts, such as standard statistical inference using maximum likelihood, and regression models. In addition, basic knowledge of R would be beneficial but is not required.
Disciplines
- Biostatistics
Application
Go to the ESP websiteDownloads
Detailed information about this course:
Description
Faculty: Prof. 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
(http://www.r-project.org/) and of R packages JM
(http://cran.r-project.org/package=JM) and JMbayes
(http://cran.r-project.org/package=JMbayes) already installed on these computers. All necessary computer code will be provided beforehand.
//Please note that the course information is subject to change and will be updated from time to time. We will do our utmost best to ensure the accuracy and reliability of the information on this website.//
Objectives
- 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.
Participant profile
Professional statisticians, epidemiologists and public health experts, working in applied environments where hierarchical modelling and survival analysis are key issues.
Assessment
Attendance
Reduction on fees
Reduction on feesPLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)
50% reduction on our fees for participating institutes of NIHES
This 50% reduction is offered to participants formally appointed at the departments or sections participating in NIHES.
University Medical Center Rotterdam/Erasmus University Rotterdam:
- Department of Epidemiology
- Department of Public Health
- Department of Psychiatry, Section of Medical Psychology and Psychotherapy
- Department of Child and Adolescent Psychiatry/Psychology
- Department of Medical Informatics
- Department of General Practice
- Erasmus School of Health Policy & Management
- Generation R
50% reduction on our fees for NIHES affiliated partners
This 50% reduction is offered to participants formally appointed at the following NIHES affiliated partners:
University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:
- Dermatology
- General Paediatrics
- Plastic and Reconstructive Surgery
- Rehabilitation Medicine
UMIT, Department of Public Health, Health Services Research and Health Technology Assessment.
25% reduction on our fees for Erasmus MC employees
For participants formally appointed at all departments of Erasmus MC (except the departments mentioned above).
25% reduction for all (international) PhD students
Please upload proof of enrollment as a PhD student in the application form and state the name of your tutor on the application form (remarks field).
25% reduction on our course fees (maximum 3 EC points per academic year) for all NIHES alumni
Please state that you are a NIHES alumnus/alumna and the academic year you graduated (remarks field). Please note that the reduction on fees for alumni does not apply to the Erasmus Summer Programme.