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| Version 2013-2014 |
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| STAT0722-1 | Introduction to medical statistics
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| Duration : | 10h Th, 5h Pr |
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| Number of credits : |
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| Lecturer : | Christophe Phillips |
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Language(s) of instruction :
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| French language |
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Course contents :
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| Methods to process and analyse medical images, mainly oriented towards statistical analysis in functional and anatomical neuro-imaging |
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Learning outcomes of the course :
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| 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. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Notions of image and signal processing, and/or experience in medical imaging, and/or statistical analysis |
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Planned learning activities and teaching methods :
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Mode of delivery (face-to-face ; distance-learning) :
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| The course is taught ex cathedra at the Cyclotron Research Centre
http://www.cyclotron.ulg.ac.be/ |
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Recommended or required readings :
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| You can find most of the material seen at the course on the SPM website:
http://www.fil.ion.ucl.ac.uk/spm |
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Assessment methods and criteria :
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| 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. |
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Work placement(s) :
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Organizational remarks :
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| The course is taught in English. |
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Contacts :
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| Christophe Phillips, c.phillips@ulg.ac.be |
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