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CALSCALE:GREGORIAN
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DTSTAMP:20260716T064028Z
UID:c21c3178-9c63-4fce-b63b-6d4d61481c63
DTSTART:20261202T093000Z
DTEND:20261202T170000Z
DESCRIPTION:A practical introduction to generalised linear models for resea
 rchers analysing biological\, experimental\, or other research data with n
 on-continuous response variables.\n\nThis course teaches how to construct\
 , interpret\, and assess generalised linear models using R or Python. The 
 focus is on practical application and interpretation rather than mathemati
 cal derivation.\n\nTopics include logistic regression\, proportional respo
 nse models\, Poisson regression\, negative binomial regression\, significa
 nce testing\, goodness-of-fit\, and model diagnostics.\n\nBy the end of th
 e course\, participants should be able to:\n\n* choose appropriate models 
 for binary\, proportional\, and count response data\n* construct logistic\
 , Poisson\, and negative binomial models in R or Python\n* plot observed d
 ata and fitted model predictions\n* assess model significance\, goodness-o
 f-fit\, and assumptions\n* interpret generalised linear model outputs conf
 idently\n\nTeaching is primarily hands-on\, with short explanations introd
 ucing the statistical ideas needed to apply the methods appropriately.\n\n
 \n      Book this event or register interest\n      This event is not yet 
 open for booking. Please choose the section that applies to you.\n      \n
       University of Cambridge member\n      Register interest\n      Exter
 nal participant\n      Register interest\n      \n      \n\n== Intended au
 dience ==\n\nThis course is suitable for:\n\n* researchers and students wh
 o analyse research data\n* participants who encounter non-continuous respo
 nse variables\, including binary\, proportional\, or count data\n* people 
 who already have experience with standard statistical models and want to e
 xtend this to generalised linear models\n* participants with a working kno
 wledge of either R or Python\n\n== Course fees ==\n\nAll fees are per full
  training day.\n\n{| class="wikitable"\n|-\n! Category\n! Fee\n|-\n| Indus
 try full charge\n| £130.00\n|-\n| Academic / Government / charity concess
 ionary\n| £65.00\n|-\n| Cambridge University staff members / postdocs / v
 isitors\n| £65.00\n|-\n| Cambridge University registered students\n| Free
 \n|-\n| Cambridge University registered students non-attendance\n| £22.00
 \n|-\n| Special events\n| Per event\n|}\n\nPayment options will be provide
 d in booking confirmation emails sent after registration.\n\n[More details
 …](https://bioinfotraining.bio.cam.ac.uk/postgraduate/eligibility)\n\n==
  General information ==\n\nMore detailed information is available on our d
 edicated [cancellation and non-attendance policy](https://bioinfotraining.
 bio.cam.ac.uk/cancellation-and-non-attendance)\, [waiting list](https://bi
 oinfotraining.bio.cam.ac.uk/waiting-list)\, [accessibility](https://bioinf
 otraining.bio.cam.ac.uk/accessibility-support)\, [privacy policies](https:
 //bioinfotraining.bio.cam.ac.uk/privacy-and-cookie-policies) and [terms &a
 mp\; conditions](https://bioinfotraining.bio.cam.ac.uk/https%3A/bioinfotra
 ining.bio.cam.ac.uk/events/terms-and-conditions) pages.\n\nGuidance on vis
 iting Cambridge and finding accommodation is available [here](https://bioi
 nfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Generalised linear models (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6431346
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