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PRODID:-//Iowa State University CALS LAS Web Team//sites.iastate.edu//EN
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UID:20180402T211000-600-www.stat.iastate.edu
DTSTART:20180402T211000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20180402T220000Z
LOCATION:Snedecor 3105
SUMMARY:Dept. Seminar - Lan Xue 
CLASS:PUBLIC
DESCRIPTION:Lan Xue\nDepartment of Statistics\nOregon State University&nbsp
 \;\n\n&nbsp\;\n\nSemi-parametric method for non-ignorable missing in longi
 tudinal data using refreshment samples.\n\nMissing data is one of the majo
 r methodological problems in longitudinal studies. It not only reduces the
  sample size\, but also can result in biased estimation and inference. It 
 is crucial to correctly understand the missing mechanism and appropriately
  incorporate it into the estimation and inference procedures.&nbsp\;\n\nMo
 re information at: https://www.stat.iastate.edu/event/2018/dept-seminar-la
 n-xue
DTSTAMP:20260411T174859Z
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