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DTSTAMP:20260808T182541Z
UID:68144583-4bbe-4752-ac4f-23984d1938d7
DTSTART:20250225T093000Z
DTEND:20250225T170000Z
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 using R](https://www.training.cam.ac.uk/bioi
 nformatics/course/bioinfo-coreStatsR) this course addresses the practical 
 aspects of using these models\, so you can explore real-life issues in the
  biological sciences. The ''Generalised linear models'' course builds heav
 ily on the knowledge gained in the core statistics sessions\, which means 
 that the Core statistics using R 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 count data using R\n\n3. Critically assess model fit\n \nR is 
 an open-source programming language so all of the software we will use in 
 the course is free. We will be using the R Studio interface throughout the
  course. Most of the code will be focussed around the ''tidyverse'' and ''
 tidymodels'' packages\, so a basic understanding of the tidyverse syntax i
 s essential.\n\n\nIf you do not have a University of Cambridge [Raven acco
 unt](https://legacy.raven.cam.ac.uk/auth/account/) please book or register
  your interest [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?e
 vent-id=5344477&amp\;course-title=Generalised%20Linear%20Models%20in-perso
 n).\n\nAdditional information\n\n* ♿ The training room is located on the
  first floor and there is currently no wheelchair or level access.\n* Our 
 courses are only free for registered University of Cambridge students. All
  other participants will be charged according to our  [charging policy](ht
 tp://www.training.cam.ac.uk/bioinformatics/info/charging).\n* Attendance w
 ill be taken on all courses and a charge is applied for non-attendance. Af
 ter you have booked a place\, if you are unable to attend any of the live 
 sessions\, please email the [Research Informatics Training Team](https://t
 raining.csx.cam.ac.uk/bioinformatics/info/contact).\n* Further details reg
 arding eligibility criteria are available [here](http://www.training.cam.a
 c.uk/bioinformatics/info/eligibility).\n* Guidance on visiting Cambridge a
 nd finding accommodation is available [here](https://bioinfotraining.bio.c
 am.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Generalised linear models (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5344477
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