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CALSCALE:GREGORIAN
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DTSTAMP:20260808T235356Z
UID:541a4086-ae06-4628-9f4c-7372d994ad0c
DTSTART:20220727T083000Z
DTEND:20220727T160000Z
DESCRIPTION:This course will be run as an in-person event only!\n \nGeneral
 ised linear models are the kind of models we would use if we had to deal w
 ith non-continuous response variables. For example\, this happens if you h
 ave count data or a binary outcome.\n \nThis course aims to introduce gene
 ralised linear models\, using the R software environment. Similar to [Core
  statistics using R](https://www.training.cam.ac.uk/bioinformatics/course/
 bioinfo-coreStatsR) this course addresses the practical aspects of using t
 hese models\, so you can explore real-life issues in the biological scienc
 es. The ''Generalised linear models using R'' course builds heavily on the
  knowledge gained in the core statistics sessions\, which means that the C
 ore statistics using R course is a firm prerequisite for joining.\n \nTher
 e are several aims to this course:\n \n1. Be able to distinguish between l
 inear models and generalised linear models\n\n2. Analyse binary outcome an
 d count data using R\n\n3. Critically assess model fit\n \nR is an open-so
 urce 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. M
 ost of the code will be focussed around the ''tidyverse'' and ''tidymodels
 '' packages\, so a basic understanding of the tidyverse syntax is essentia
 l.\n\n\nThe training room is located on the first floor and there is curre
 ntly no wheelchair or level access available to this level.\n\n\n\nPlease 
 note that if you are not eligible for a University of Cambridge Raven acco
 unt you will need to book or register your interest by linking [here](http
 ://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4376799&amp\;&amp\
 ;course-title=Generalised%20Linear%20Models%20using%20R).''
LOCATION:Craik-Marshall Building
SUMMARY:Generalised Linear Models using R (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4376799
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