BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260709T155747Z
UID:7523296a-a7a9-4df9-a1e1-0e945cc18ba3
DTSTART:20260227T093000Z
DTEND:20260227T173000Z
DESCRIPTION:Note: This iteration of the course is a special event open only
  to Wellcome Sanger Institute students and staff. If you are a Sanger staf
 f member\, please  [register your interest here](http://bioinfotraining.bi
 o.cam.ac.uk/booking-form/?event-id=5900747&amp\;course-title=Extending%20t
 he%20linear%20model%20SANGER%20STAFF) to be notified once a place becomes 
 available. After accepting an offer\, a place will be booked and you will 
 receive a confirmation email with relevant payment details. \n    \n  \n\n
 \n\nProgramme\n\nThe Sanger Institute Graduate Computational Skills Progra
 mme\n\nModule 7: Extending the linear model\n\nDuring the Core statistics 
 sessions we provided a strong foundation in practical statistics and data 
 analysis. We highlighted that many statistical tests are actually all vari
 ations on the same principle: the linear model.\n\nThe linear model is app
 ropriate in many cases\, where the response variable is continuous and a s
 et of underlying statistical assumptions are met. However\, what to do whe
 n this is not the case?\n\nIn this one-day course we give a brief overview
  of what your options are when the standard linear model is no longer suit
 able. We cover situations where your response variable is non-continuous (
 generalised linear models) or your data are not independent (linear mixed 
 models).\n\nWe discuss this in the context of experimental design: having 
 awareness of what your data will look like by the end of the experiment ca
 n avoid common pitfalls\, such as treating technical repeats as biological
  ones or treating count data as continuous.\n\nThis module consists of 1 f
 ull day sessions. \n\nDelivery\n\nAll sessions are in-person.
LOCATION:Craik-Marshall Building
SUMMARY:Sanger Graduate Programme 2025-26 - Extending the linear model
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5900747
END:VEVENT
END:VCALENDAR