Name: Introduction to medical statistics
Start: 2021-11-16T14:00:00+01:00
End: 2021-12-18T18:00:00+01:00
Location: No location set

Description

This Indico event describes the content and planning for the course "Introduction to medical statistics" (STAT0722). Note that the program here under still need to be updated with class-room and content.

The course content is focused on the SPM software and its application to analyse neuroimaging data. The course will be illustrated with some example of data processing using the demo data from SPM.

The material from last year's course is obviously an excellent source of information.

Class room

On November 16, the class will take place at B7a S2 (-1/16) [Liège Sart-Tilman - Agora], i.e. a small underground room near the "Amphis des Sciences".
on the other dates, the classes will take place at B4 1/24 (1/88) [Liège Sart-Tilman - Agora], i.e. a small room on the 1st floor in the "Amphi de l'Europe".

Evaluation

This will consist in the oral presentation of a peer-reviewed article in the field of neuroimaging. The focus should be on the methodological aspects and data processing overall. Students are free to choose an article they find interesting but it should still be approved by C. Phillips.

Potential journals:

Neuroimage, https://www.sciencedirect.com/journal/neuroimage
Human Brain Mapping, https://onlinelibrary.wiley.com/journal/10970193
Frontiers in Brain Imaging Methods, https://www.frontiersin.org/journals/computational-neuroscience

Potential papers:

Ganz et al. False positive rates in positron emission tomography (PET) voxelwise analyses. Journal of Cerebral Blood Flow & Metabolism .https://doi.org/10.1177%2F0271678X20974961
Kocke et al. Do manual and voxel-based morphometry measure the same? A proof of concept study. https://doi.org/10.3389/fpsyt.2014.00039
Markiewicz et al. Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. https://doi.org/10.1016/j.neuroimage.2021.117821
Monté-Rubio et al. A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methods. https://doi.org/10.1016/j.neuroimage.2018.05.065
Botvinik-Nezer et al. Variability in the analysis of a single neuroimaging dataset by many teams. https://doi.org/10.1038/s41586-020-2314-9

Date, time & place:

January 14, 2022, at 2pm
CRC (B30), large meeting room