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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : Deanery of Clinical Sciences : Neuroscience (Medicine)

Postgraduate Course: Imaging: Statistics (NEME11022)

Course Outline
SchoolDeanery of Clinical Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis core course will teach statistical considerations when performing preclinical and clinical studies, including ensuring appropriate sample sizes, assessing the accuracy of diagnostic tests, ROC curves, assessing differences between observers, how to read a paper, and systematic reviews
Course description Under development - will be listed explicitly on the Imaging MSc website at http://www.imagingmsc.ed.ac.uk

Proposed Modules will cover but not be limited to:
+ sample sizes
+ assessing the accuracy of diagnostic tests
+ ROC curves
+ assessing differences between observers
+ how to read a paper
+ systematic reviews
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Not being delivered
Learning Outcomes
See course description
Reading List
Under development - will be listed for each module in the online environment with links directly to University library holdings.
Additional Information
Graduate Attributes and Skills Not entered
Special Arrangements All courses to be delivered online by distance learning, using the institutional learning environment and other online tools (e.g. wiki, objective testing software), accessed by using the standard university EASE login.
KeywordsImaging, Imaging sciences, Light microscopy, Preclinical imaging, Clinical imaging, Radiology, Stati
Contacts
Course organiserProf Andrew Farrall
Tel: (0131) 537 3910
Email: andrew.farrall@ed.ac.uk
Course secretaryDr Charilaos Alexakis
Tel: 0131 537 3125
Email: C.Alexakis@ed.ac.uk
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