Clinical Epidemiology [CK040]

Course highlights

EC points

3

Start date

28-11-2022

End date

09-12-2022

Course days

Monday-Friday, the course covers a fulltime workload

Faculty

Prof. M.G.M. Hunink, MD, PhD, H.F. Lingsma, PhD, D. van Klaveren, PhD

Course fee

€ 1200

Location

Erasmus MC, Rotterdam NL

Level

Introductory

Disciplines

  • Clinical Epidemiology

Application

How to apply

Detailed information about this course:

Description

This course is primarily in class, with online options for students unable to come to Erasmus MC.


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 leading to research studies. Results from clinical epidemiological research are used in patient management decisions. Understanding the research results, recognizing the limitations, and knowing how to apply them are essential 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 discussed, using examples from the literature and from ongoing studies. The course is divided into 3 parts:

  1. Diagnosis
  2. Prognosis
  3. Interventions

We use blended learning: a combination of video’s, readings, assignments, question-and-answer sessions, interactive lectures, and workshops.

The assignments involve performing calculations. For the Diagnosis part we work with Excel. 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: install R and R Studio, learn basic R syntax, and learn basic R studio functionality. The DataCamp course Introduction to R is very helpful: https://www.datacamp.com/courses/free-introduction-to-r. The full DataCamp course will be available for course participants.

For students in our master programmes, the core concepts presented in this course will be assessed in the core competences exam that bundles the fall semester courses. This is in addition to the assessment during the course in the form of assignment(s). The core competences exam is only mandatory for students starting their programme in August 2021 or later, while the assignments during the course are mandatory for all participating students.

Objectives

  1. Understand the similarities and differences between diagnostic, prognostic and intervention research.
  2. Appraise the design and analysis of clinical studies related to diagnosis, prognosis, and interventions.
  3. Apply the methods to analyze the data from diagnostic and prognostic studies.
  4. Understand the advantages and disadvantages related to different intervention designs.
  5. Design a clinical study.

Participant profile

Clinical researchers, medical doctors, paramedical professionals, healthcare professionals. Students in epidemiology.

Assessment

Assignment(s)


Reduction on fees

PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)

No fees are charged for participation of Erasmus MC PhD candidates

Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.

 

25% reduction for all (international) PhD students without formal appointment at Erasmus MC

Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.