BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NextToU//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:644852af-c0db-497e-a655-3da141106410@nexttoyou
DTSTAMP:20261106T173052Z
DTSTART:20261118T210000Z
DTEND:20261118T220000Z
SUMMARY:Mind the Gap: An Introduction to Practical Strategies for Handling
  Missing Data in R
LOCATION:https://buffalo.zoom.us/j/99197345603?pwd=StOUGQJhF7MvLPfSs3KHpOl
 edaJsVY.1
DESCRIPTION:Hosted by the Office of Statistics for Doctoral Research\, thi
 s workshop introduces doctoral students to the challenges that missing da
 ta can present in research and practical strategies for addressing them u
 sing R.\n\nMissing data are a common and often unavoidable challenge in r
 eal-world research. Participants may skip survey questions\, miss study v
 isits\, or have incomplete clinical assessments. How these missing data a
 re handled can affect statistical power\, precision\, and – more importan
 tly – the validity of study findings.\n\nChoosing an appropriate approach
  requires more than simply deleting incomplete observations or filling in
  missing values. Researchers need to understand the extent and patterns o
 f missingness\, consider why data may be missing\, and recognize the assu
 mptions underlying different analytic strategies.\n\nThis introductory\, 
 practical workshop provides a concepts-first approach to understanding an
 d handling missing data\, with examples implemented in R. Participants wi
 ll learn about missing-data mechanisms – including missing completely at 
 random (MCAR)\, missing at random (MAR)\, and missing not at random (MNAR
 ) – and use graphical and descriptive methods to explore missingness in t
 heir data. The workshop will examine common approaches such as complete-c
 ase analysis and simple imputation\, discuss their limitations\, and intr
 oduce multiple imputation as a principled approach for handling missing d
 ata under appropriate assumptions.\n\nEmphasis will be placed on develop\
 n\nhttp://next-to-u.app/events/644852af-c0db-497e-a655-3da141106410
URL:http://next-to-u.app/events/644852af-c0db-497e-a655-3da141106410
END:VEVENT
END:VCALENDAR