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DTSTAMP:20260709T212103Z
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DTSTART:20260211T093000Z
DTEND:20260213T130000Z
DESCRIPTION:Generalised linear models are the kind of models we would use i
 f we had to deal with non-continuous response variables. For example\, thi
 s happens if you have count data or a binary outcome.\n \nThis course aims
  to introduce generalised linear models\, using the R software environment
 . Similar to [Core statistics](https://www.training.cam.ac.uk/bioinformati
 cs/course/bioinfo-coreStatsR) this course addresses the practical aspects 
 of using these models\, so you can explore real-life issues in the biologi
 cal sciences. The ''Generalised linear models'' course builds heavily on t
 he knowledge gained in the core statistics sessions\, which means that the
  Core statistics course is a firm prerequisite for joining.\n \nThere are 
 several aims to this course:\n \n1. Be able to distinguish between linear 
 models and generalised linear models\n\n2. Analyse binary outcome and coun
 t data using R\n\n3. Critically assess model fit\n \nR is an open-source p
 rogramming language so all of the software we will use in the course is fr
 ee. We will be using the R Studio interface throughout the course. Most of
  the code will be focussed around the ''tidyverse'' and ''tidymodels'' pac
 kages\, so a basic understanding of the tidyverse syntax is essential.\n\n
 \nIf you do not have a University of Cambridge [Raven account](https://leg
 acy.raven.cam.ac.uk/auth/account/) please book or register your interest [
 here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=5880249&
 amp\;course-title=Generalised%20Linear%20Models%20online).\nIf for any rea
 son the above links do not work\, please email [Research Informatics Train
 ing Team](https://training.cam.ac.uk/bioinformatics/info/contact) with det
 ails of your course enquiry.\n\nAdditional information\n\n* Our courses ar
 e only free for registered University of Cambridge students. All other par
 ticipants will be charged according to our  [charging policy](http://www.t
 raining.cam.ac.uk/bioinformatics/info/charging).\n* Attendance will be tak
 en on all courses and a charge is applied for non-attendance. After you ha
 ve booked a place\, if you are unable to attend any of the live sessions\,
  please email the [Research Informatics Training Team](https://training.ca
 m.ac.uk/bioinformatics/info/contact).\n* Further details regarding eligibi
 lity criteria are available [here](http://www.training.cam.ac.uk/bioinform
 atics/info/eligibility).
LOCATION:Craik-Marshall Building
SUMMARY:Generalised linear models (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5880249
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