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UID:20260619T123442EDT-8426Cv3I1x@132.216.98.100
DTSTAMP:20260619T163442Z
DESCRIPTION:**Registration Closed**MyInvolvement pages are for in-person at
 tendees only. To register for the online session\, please use the Microsof
 t Forms link:Participants that are not part of the ɬÀï·¬ Community are al
 so invited to register with the Microsoft Forms link.In this 2-hour worksh
 op\, we will provide a brief introduction to Statistics using R. We will s
 tart by presenting key features of the dplyr package in R – this will incl
 ude data frame filtering\, variable manipulation\, merging of data frames\
 , and handling of missing data. Subsequently\, we will delve into two clas
 sic statistical models: the linear regression model and the logistic regre
 ssion model. We will analyze the assumptions underlying each model and exp
 lore their limitations. Finally\, we will explore statistical testing and 
 experimental design concepts. By the end of this workshop\, the student wi
 ll be able to:Manipulate datasets using the base-R syntax as well as the s
 yntax of the dplyr package.Perform a multiple linear regression model and 
 understand its power and limitations.Perform a logistic regression model f
 or binary classification.Understand the fundamentals behind statistical te
 sting and study design. Prerequisites:Students must have the experience of
  a beginner R user (including installing packages\, plotting\, and basic h
 andling of data frames)Some notions of Statistics and/or Probability equiv
 alent to an undergrad course are recommended**IMPORTANT NOTICE: Attendance
  for ɬÀï·¬ graduate students and postdoctoral fellows is subsidized by Gr
 aduate and Postdoctoral Studies. All other attendees such as undergraduate
  students\, interns and/or graduate students from other institutions are r
 equired to purchase a ticket to cover organizational and staffing costs. T
 o complete your registration\, you must e-transfer $10 (undergraduate stud
 ent/trainee) $25 (staff) or $100 (faculty) to workshop-micm [at] mcgill.ca
  within 24 hours of RSVP'ing to this event. If we do not receive your e-tr
 ansfer\, you will have given up your spot.
DTSTART:20260619T170000Z
DTEND:20260619T190000Z
LOCATION:CA\, Montreal\, Sherbrooke 550\, Room 189\, 550 R. Sherbrooke W
SUMMARY:Statistics in R (Part 2)
URL:/tised/channels/event/statistics-r-part-2-373274
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