Advanced epidemiology

wfsp2238  2026-2027  Bruxelles Woluwe

Advanced epidemiology
5.00 credits
20.0 h + 20.0 h
Q2
Teacher(s)
Language
English
Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Content
  • Basic epidemiology – repetition​
  1. Descriptive epidemiology: indicators​
  2. Analytic epidemiology: studies, measures, bias​
  • Advanced epidemiology​
  1. Multivariable regression​
  2. Disability-Adjusted Life Years​
  3. Classification and regression trees​
  4. Disease transmission models​
Teaching methods
In English
The lectures will be illustrated by concrete cases extracted from literature. Sessions of exercises will go along with the lectures. The exercises will be conducted individually, worked out by the students and discussed together in class. The exercises are simple applications (related to the knowledge acquired in the theoretical part), or exercises combining several principles (related to the teaching objectives) which will allow the use of a diversity of skills. The exercises will be solved by hand and using R.
Software : R
R is an interactive programming language containing a very large collection of statistical methods and important graphic facilities. It is a free clone of the S-Plus software marketed by MathSoft and developed by Statistical Sciences around the language S. The internet site of the "R core-development TEAM", http://www.r-project.org, is the best source of information on the software R.
Evaluation methods
The exam consists of a written examination (theory and exercises). It also includes exercises using R.
The evaluation is in English.
Artificial intelligence (AI) will not be used or taken into account in this course.
Online resources
Documents available on Moodle
"R core-development TEAM", http://www.r-project.org, is the best source of information on the software R.
Bibliography
"Statistique/épidémiologie" Ancelle; collection " Sciences fondamentales "; éditions Maloine, Paris (2002). "The Oxford Handboractice" Pencheon, Guest, Melzer, Gray; Oxford University Press; Oxford (2006)
Teaching materials
  • Documents available on Moodle “The Oxford Handbook of public Health Practice” Pencheon, Guest, Melzer, Gray; Oxford University Press; Oxford (2006)
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Statistics: Biostatistics

Master [120] in Public Health

Certificat d'université : Statistique et science des données (15/30 crédits)