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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260716T204817Z
UID:bf866945-2510-402b-8df7-bf3e53509dd9
DTSTART:20261006T083000Z
DTEND:20261006T160000Z
DESCRIPTION:An applied introduction to survival analysis for researchers wh
 o plan to use this method in their own research or studies.\n\nThe course 
 focuses on key concepts and practical skills\, with applied examples and d
 atasets to teach implementation and model interpretation.\n\nThe course ma
 kes use of R and the survival/survminer packages. Some code in early chapt
 ers is also provided in Python using the lifelines package.\n\nBy the end 
 of the course\, participants should be able to:\n\n* Recognise key feature
 s of time-to-event data (e.g.\, censoring)\n* Visualise time-to-event data
  with survival curves\n* Run a log-rank test to compare survival curves\n*
  Build multivariate Cox regression models for more complex datasets\n* Int
 erpret the output and assumptions of the above statistical tests\n* Know t
 he limitations of the above statistical tests\n\n\n      Book this event o
 r register interest\n      This event is not yet open for booking. Please 
 choose the section that applies to you.\n      \n      University of Cambr
 idge member\n      Register interest\n      External participant\n      Re
 gister interest\n      \n      \n\n== Intended audience ==\n\nThis course 
 is suitable for:\n\n* postgraduate students\, postdoctoral researchers\, a
 nd other researchers working with experimental or observational data\n* pa
 rticipants working on time-to-event data\n* researchers who already unders
 tand linear models and want to extend their statistical toolkit\n* partici
 pants with a working knowledge of R (and RStudio or similar IDE)\n\n== Cou
 rse fees ==\n\nAll fees are per full training day.\n\n{| class="wikitable"
 \n|-\n! Category\n! Fee\n|-\n| Industry full charge\n| £130.00\n|-\n| Aca
 demic / Government / charity concessionary\n| £65.00\n|-\n| Cambridge Uni
 versity staff members / postdocs / visitors\n| £65.00\n|-\n| Cambridge Un
 iversity registered students\n| Free\n|-\n| Cambridge University registere
 d students non-attendance\n| £22.00\n|-\n| Special events\n| Per event\n|
 }\n\nPayment options will be provided in booking confirmation emails sent 
 after registration.\n\n[More details…](https://bioinfotraining.bio.cam.a
 c.uk/postgraduate/eligibility)\n\n== General information ==\n\nMore detail
 ed information is available on our dedicated [cancellation and non-attenda
 nce policy](https://bioinfotraining.bio.cam.ac.uk/cancellation-and-non-att
 endance)\, [waiting list](https://bioinfotraining.bio.cam.ac.uk/waiting-li
 st)\, [accessibility](https://bioinfotraining.bio.cam.ac.uk/accessibility-
 support)\, [privacy policies](https://bioinfotraining.bio.cam.ac.uk/privac
 y-and-cookie-policies) and [terms &amp\; conditions](https://bioinfotraini
 ng.bio.cam.ac.uk/https%3A/bioinfotraining.bio.cam.ac.uk/events/terms-and-c
 onditions) pages.\n\nGuidance on visiting Cambridge and finding accommodat
 ion is available [here](https://bioinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Survival (time-to-event) analysis (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6429200
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