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DTSTAMP:20260808T230404Z
UID:f7aff24a-a3cd-4656-8053-24a0dc8c78ab
DTSTART:20230628T083000Z
DTEND:20230628T160000Z
DESCRIPTION:This one-day course is primarily aimed at life science research
 ers\, but covers many topics that are applicable to other fields. It combi
 nes key theoretical knowledge with practical application\, which will aid 
 researchers in designing effective experiments. The focus throughout the c
 ourse is to link experimental design to a clear analysis strategy. This en
 sures that the collected data will be suitable for statistical analysis.\n
 During this course\, we cover:\n\n*Practices in experimental design that l
 ead to high quality research\n*Common design pitfalls\, and how to avoid o
 r mitigate them\n*A brief introduction to more advanced analysis technique
 s for experiments with unusual or complex designs\n\nTopics included in th
 e course include: crafting a good research question\, operationalising var
 iables effectively\, identifying and dealing with confounding variables an
 d pseudoreplication\, and practical tips for power analysis and piloting.\
 n\nThe course is delivered via a mix of lectures\, group discussion and wo
 rked examples. \n\n\n\nThe training room is located on the first floor and
  there is currently no wheelchair or level access available to this level.
 \n\nPlease note that if you are not eligible for a University of Cambridge
  [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need
  to book or register your interest by linking [here](http://bioinfotrainin
 g.bio.cam.ac.uk/booking-form/?event-id=4753131&amp\;course-title=Experimen
 tal%20design%20for%20statistical%20analysis).''
LOCATION:Craik-Marshall Building
SUMMARY:Experimental design for statistical analysis (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4753131
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