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CALSCALE:GREGORIAN
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DTSTAMP:20260808T161634Z
UID:f1869b1d-daa2-4006-bdf1-d3b9d8a11744
DTSTART:20250307T093000Z
DTEND:20250314T170000Z
DESCRIPTION:This course gives an introduction to linear mixed effects model
 s\, also called multi-level models or hierarchical models\, for the purpos
 es of using them in your own research or studies.\n\nWe emphasise the prac
 tical skills and key concepts needed to work with these models\, using app
 lied examples and real datasets. \n\nAfter completing the course\, you sho
 uld have:\n* A conceptual understanding of what mixed effects models are\,
  and when they should be used\n* Familiarity with fitting and interpreting
  mixed effects models using the lme4 package in R\n\n''Please note that th
 is course builds on knowledge of linear modelling\, therefore should not b
 e considered a general introduction to statistical modelling.''\n\n\nIf yo
 u do not have a University of Cambridge [Raven account](https://legacy.rav
 en.cam.ac.uk/auth/account/) please book or register your interest [here](h
 ttp://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=5344680&amp\;co
 urse-title=Linear%20mixed%20effect%20models%20in-person).\n\nAdditional in
 formation\n\n* Our courses are only free for registered University of Camb
 ridge students. All other participants will be charged according to our  [
 charging policy](http://www.training.cam.ac.uk/bioinformatics/info/chargin
 g).\n* Attendance will be taken on all courses and a charge is applied for
  non-attendance. After you have booked a place\, if you are unable to atte
 nd any of the live sessions\, please email the [Research Informatics Train
 ing Team](https://training.csx.cam.ac.uk/bioinformatics/info/contact).\n* 
 Further details regarding eligibility criteria are available [here](http:/
 /www.training.cam.ac.uk/bioinformatics/info/eligibility).\n* Guidance on v
 isiting Cambridge and finding accommodation is available [here](https://bi
 oinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Linear mixed effects models (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5344680
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