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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Academics,Natural & Applied Sciences Division,Mathematics and St
 atistics
DESCRIPTION:“Risk factors associated with COVID-19 Mortality using Multiple
  Imputation” by Prince Allotey PhD candidate\, Statistics Department\, Univ
 ersity of Connecticut\n\nMissing data is common and avoidable in all resear
 ch. Although most practitioners are still ignoring the missing data problem
 \, numerous papers and research articles demonstrate that dealing with it c
 orrectly is very important. Missing data may lead to bias and misleading re
 sults.\n\nIn this talk\, we will introduce missing data vocabulary and pres
 ent problems and solutions to the missing data issue. We will emphasize mor
 e on ad-hoc procedures for dealing with missing data and also compare resul
 ts from ad-hoc and Multiple Imputation procedures.
DTEND:20220204T220000Z
DTSTAMP:20260412T204702Z
DTSTART:20220204T210000Z
GEO:42.787588;-86.106797
LOCATION:VanderWerf Hall\, 104
SEQUENCE:0
SUMMARY:Math Colloquium: Prince Allotey\, PhD candidate
UID:tag:localist.com\,2008:EventInstance_39068027626938
URL:https://calendar.hope.edu/event/math_colloquium_prince_allotey_phd_cand
 idate
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