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SUMMARY:Introduction to medical statistics
DTSTART;VALUE=DATE-TIME:20221109T130000Z
DTEND;VALUE=DATE-TIME:20221214T170000Z
DTSTAMP;VALUE=DATE-TIME:20260517T030538Z
UID:indico-event-338@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\, especially the later classes...\n
 \nThe course content is focused on the SPM software and its application to
  analyse neuroimaging data. The course will be illustrated with some examp
 le of data processing using the demo data from SPM.\n\nThe material from l
 ast year's and 2020's course (including video recordings for the latter)
  is obviously an excellent source of information. Not to be missed either
 \, the slides and videos from past official SPM courses in London!\n\nClas
 s room & timetable\n\nSix classes are planned\, on Wednesdays from 14h til
 l 17h with a mid-break\, and the exact program will be adapted. Those wil
 l take place\n\n\n	in the "Big meeting" room\, at the Cyclotron Research C
 entre\, B30\, on November 9 & 23 and December 7 & 4\;\n	in room S2\, at t
 he "Grands amphis"\, B7a\, on November 16 & 30.\n\n\nFor those who can onl
 y attend remotely\, the course will tentatively be live streamed via Teams
 . Alternatively\, you could check out the recording of the 2020 course\, w
 hich cover about the same content\, see this Indico page for the video lin
 ks.\n\nEvaluation\n\nThis 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 c
 hoose an article they find interesting but it should still be approved by 
 C. Phillips.\n\nPotential journals:\n\n\n	Neuroimage\, https://www.scienc
 edirect.com/journal/neuroimage\n	Human Brain Mapping\, https://onlinelibr
 ary.wiley.com/journal/10970193\n	Frontiers in Brain Imaging Methods\, htt
 ps://www.frontiersin.org/journals/computational-neuroscience\n\n\nPotentia
 l papers\, from last year so the list should be updated!\n\n\n	Ganz et al.
  False positive rates in positron emission tomography (PET) voxelwise ana
 lyses. Journal of Cerebral Blood Flow & Metabolism .https://doi.org/10.117
 7%2F0271678X20974961\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	Markiewicz et al. Uncertainty analysis of MR-PET image re
 gistration for precision neuro-PET imaging. https://doi.org/10.1016/j.neu
 roimage.2021.117821\n	Monté-Rubio et al. A comparison of various MRI fea
 ture types for characterizing whole brain anatomical differences using lin
 ear pattern recognition methods. https://doi.org/10.1016/j.neuroimage.201
 8.05.065\n	Botvinik-Nezer et al. Variability in the analysis of a single 
 neuroimaging dataset by many teams. https://doi.org/10.1038/s41586-020-23
 14-9\n\n\nDate\, time & place:\n\n\n	to be decided\n	ideally at the  CRC 
 (B30)\, large meeting room\n\n\nhttps://indico.giga.uliege.be/event/338/
LOCATION:
URL:https://indico.giga.uliege.be/event/338/
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