Dates

29 October - 21 December 2018

Lectures, tutorials and practicals are planned on the Tuesdays.


Content

This module focusses on the most common advanced statistical techniques used in epidemiological and health sciences research.
 

Course coordinator

Sophie Vanbelle, PhD, Department of Methodology & Statistics
E-mail
T +31 (0)43-3882277
 

ECTS

6.0
 

Fee

Regular master’s fee, or €1752 (non-master student)

EPI4923 - Advanced statistical analysis techniques


The aim of the module is to prepare the students for the application of various advanced statistical analysis techniques during the master thesis research period and during their future professional career. The participants will be trained in the independent use of the most common multivariable methods that are currently available for the analysis of epidemiological research data. After acquiring these statistical knowledge and skills the graduates will also be better equipped for the critical assessment of scientific research conducted by third parties, for instance as a reviewer or a policy officer. Although the mathematical background of the various techniques will be touched upon, the main emphasis during this course will be on the interpretation of the statistical analysis results. The procedures and statistical output will be illustrated by means of the statistical software package SPSS. In addition, the use of R and STATA will be briefly tackled. The following topics and techniques will be covered during this module: analysis of variance and covariance, linear regression analysis, logistic regression analysis for binary dependent variables, survival analysis, analysis of repeated measurements (multilevel models) and the choice of statistical analysis techniques in relation to study design.
Education is planned every Tuesday. The moudle is finished with a written examination.