Study Programmes 2015-2016
STAT0722-1  
Introduction to medical statistics
Duration :
10h Th, 5h Pr
Number of credits :
Master in biomedical engineering (120 ECTS)2
Master in physics (120 ECTS)2
Lecturer :
Christophe Phillips
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Course contents :
Methods to process and analyse medical images, mainly oriented towards statistical analysis in functional and anatomical neuro-imaging
Learning outcomes of the course :
The aim is to have an overall understanding of the processing steps of medical images, with a view to functional neuro-imaging:
- image spatial preprocessing: realignment, normalisation, coregistration, segmentation
- statical modeling with the "General Linear Model" and estimation of its parameters
- statistical inference about these parameters and correction for the multiple comparison problem
- other methods: non-parametric statistic, connectivity, dynamic causal modeling, Bayesian inference, etc.
Prerequisite knowledge and skills :
Notions of image and signal processing, and/or experience in medical imaging, and/or statistical analysis
Planned learning activities and teaching methods :
Mode of delivery (face-to-face ; distance-learning) :
The course is taught ex cathedra at the Cyclotron Research Centre http://www.cyclotron.ulg.ac.be/
Recommended or required readings :
You can find most of the material seen at the course on the SPM website: http://www.fil.ion.ucl.ac.uk/spm
Assessment methods and criteria :
Functional neuroimaging project realised in collaboration with the CRC under supervision of a PI. Or oral presentation and discussion of a recent scientific article related to the content of the cours.
Work placement(s) :
Organizational remarks :
The course is taught in English.
Contacts :
Christophe Phillips, c.phillips@ulg.ac.be