Clinical Epidemiology [CE02]
Weekdays (schedule posted in course description)
Prof. M.G.M. Hunink, MD PhD, H.F. Lingsma, PhD, N. van Leeuwen, MSc, E.M. Krijkamp, MSc
The assignments involve performing calculations. For the Diagnosis part you may choose to work with Excel or with R. For the Prognosis part you will be using R code that has been written for you. To benefit maximally from this course we advise you to do the introduction to R - online course. The R online course will take maximally 5 hours and the aim is to help you prepare for your NIHES courses, by:
- installing R and R Studio on your laptop;
- learning about the syntax of R and how to write code;
- learning the basics of R Studio (open source integrated development environment);
We expect you to be familiar with the topics covered in the DataCamp course Introduction to R:
- Clinical Epidemiology
Detailed information about this course:
Research questions in clinical epidemiology originate from clinical practice. Caring for patients commonly triggers the research-minded clinician to question his/her knowledge and decisions. Questions may revolve around risk factors, prevention, diagnosis, prognosis and/or interventions. Results from clinical epidemiological research are used in patient management decisions. Concepts from decision sciences are used to translate clinical research results to application in day-to-day clinical practice.
In this course, the principles and practice of clinical epidemiology and the application of the results to clinical decision making will be considered, using examples from the literature and from ongoing studies.
We will be using blended learning: a combination of web-based materials, interactive lectures, workshops and practicums.
The course is divided into 3 parts:
Assignments for each part need to be completed prior to the next part.
The course dates are as follows:
Oct 30 - Nov 1: online learning
Nov 1, Nov 4: AM: online learning, PM: office hours (optional)
Nov 5: AM: online learning, PM: in-class sessions
Nov 6: self-study / finish online learning assignments
Nov 7 - 8: in-class sessions
Nov 11: in-class sessions
Nov 12: AM: self-study, PM: exam
Nov 13 - 15: group assignment and final course assignment
Nov 15: deadline for assignments
- Ability to evaluate and appraise clinical studies
- Ability to actively participate in clinical studies
Medical doctors, medical students, clinical researchers, clinical epidemiologist, biostatisticians, health technology assessors, and public health professionals.
Written exam, Assignment(s)
Reduction on fees
PLEASE 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:
- 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.