Education

Clinical Epidemiology [CE02]

Course highlights

EC points

3.7

Months

November

Course days

Weekdays

Faculty

Prof. M.G.M. Hunink, MD PhD, H.F. Lingsma, PhD, N. van Leeuwen, MSc, E.M. Krijkamp, MSc

Course fee

€ 1400

Location

Online

Level

Intermediate Introductory

Prerequisites

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:

https://www.datacamp.com/courses/free-introduction-to-r


Disciplines

  • Clinical Epidemiology

Application

How to apply

Downloads

Detailed information about this course:

Description

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:

  1. Diagnosis
  2. Prognosis
  3. Interventions

Assignments for each part need to be completed prior to the next part.

Objectives

  • Ability to evaluate and appraise clinical studies
  • Ability to actively participate in clinical studies

Participant profile

Medical doctors, medical students, clinical researchers, clinical epidemiologist, biostatisticians, health technology assessors, and public health professionals.

Assessment

Written exam, Assignment(s)