Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
35.0 h + 20.0 h
Q2
Teacher(s)
Speybroeck Niko;
Language
French
Main themes
The course will be divided into two large sections: statistics and epidemiology.
Statistics: Subjects covered: descriptive statistics (variables, statistical measures, distributions), estimation (statistical measures, parameter estimation), statistical test (principles, practical use of statistical tests), introduction to regression models.
Epidemiology: Subjects covered: introduction to epidemiology, measures in epidemiology, types of epidemiological studies, measures of effects and population impacts, standardisation of rates, bias evaluation, causality concept, technique performances.
Statistics: Subjects covered: descriptive statistics (variables, statistical measures, distributions), estimation (statistical measures, parameter estimation), statistical test (principles, practical use of statistical tests), introduction to regression models.
Epidemiology: Subjects covered: introduction to epidemiology, measures in epidemiology, types of epidemiological studies, measures of effects and population impacts, standardisation of rates, bias evaluation, causality concept, technique performances.
Aims
At the end of this learning unit, the student is able to : | |
| 1 | Introduction to the basics of common statistical methods and initiation in the principles and basic methods of epidemiology. |
| 2 | To be able to make relevant choices of statistical methods for a concrete public health or medical problem and in understanding the results. |
| 3 | To be able to read and to include/understand epidemiologic and statistical aspects of public health publications in a critical way. |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
Statistics : " descriptive statistics (variables, statistical measures, distributions), " estimation (statistical measures, parameter estimation), " statistical test (principles, practical use of statistical tests), " introduction to regression models.
Epidemiology : " introduction to epidemiology, " measures in epidemiology, " types of epidemiological studies, " measures of effects and population impacts, " standardisation of rates, " bias evaluation, " causality concept, " performance of a technique.
Epidemiology : " introduction to epidemiology, " measures in epidemiology, " types of epidemiological studies, " measures of effects and population impacts, " standardisation of rates, " bias evaluation, " causality concept, " performance of a technique.
Teaching methods
The lectures will be illustrated by concrete cases extracted from literature. Sessions of exercises will go along with the lectures
Bibliography
Statistique/épidémiologie " T. Ancelle; collection " Sciences fondamentales "; éditions Maloine, Paris (2002).
Teaching materials
- Statistique/épidémiologie " T. Ancelle; collection " Sciences fondamentales "; éditions Maloine, Paris (2002).
- Logiciel : R
Faculty or entity
FSP
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Advanced Master in Occupational Medicine
