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SUMMARY:Introduction to medical statistics
DTSTART;VALUE=DATE-TIME:20211116T130000Z
DTEND;VALUE=DATE-TIME:20211218T170000Z
DTSTAMP;VALUE=DATE-TIME:20260311T092531Z
UID:indico-event-278@indico.giga.uliege.be
DESCRIPTION:This Indico event describes the content and planning for the c
 ourse "Introduction to medical statistics" (STAT0722). Note that the progr
 am here under still need to be updated with class-room and content.\n\nThe
  course content is focused on the SPM software and its application to anal
 yse neuroimaging data. The course will be illustrated with some example of
  data processing using the demo data from SPM.\n\nThe material from last y
 ear's course is obviously an excellent source of information.\n\nClass ro
 om\n\n\n	On November 16\, the class will take place at B7a S2 (-1/16) [Li
 ège Sart-Tilman - Agora]\, i.e. a small underground room near the "Amphis
  des Sciences".\n	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 fl
 oor in the "Amphi de l'Europe".\n\n\nEvaluation\n\nThis will consist in th
 e oral presentation of a peer-reviewed article in the field of neuroimagin
 g. The focus should be on the methodological aspects and data processing o
 verall. Students are free to choose an article they find interesting but i
 t should still be approved by C. Phillips.\n\nPotential journals:\n\n\n	Ne
 uroimage\, https://www.sciencedirect.com/journal/neuroimage\n	Human Brain
  Mapping\, https://onlinelibrary.wiley.com/journal/10970193\n	Frontiers i
 n Brain Imaging Methods\, https://www.frontiersin.org/journals/computatio
 nal-neuroscience\n\n\nPotential papers:\n\n\n	Ganz et al. False positive 
 rates in positron emission tomography (PET) voxelwise analyses. Journal of
  Cerebral Blood Flow & Metabolism .https://doi.org/10.1177%2F0271678X20974
 961\n	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 \n	M
 arkiewicz et al. Uncertainty analysis of MR-PET image registration for pr
 ecision neuro-PET imaging. https://doi.org/10.1016/j.neuroimage.2021.1178
 21\n	Monté-Rubio et al. A comparison of various MRI feature types for ch
 aracterizing whole brain anatomical differences using linear pattern recog
 nition methods. https://doi.org/10.1016/j.neuroimage.2018.05.065\n	Botvin
 ik-Nezer et al. Variability in the analysis of a single neuroimaging data
 set by many teams. https://doi.org/10.1038/s41586-020-2314-9\n\n\nDate\, 
 time & place:\n\n\n	January 14\, 2022\, at 2pm \n	CRC (B30)\, large meeti
 ng room\n\n\nhttps://indico.giga.uliege.be/event/278/
LOCATION:
URL:https://indico.giga.uliege.be/event/278/
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