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SUMMARY:Analysis of Networks with Missing Data with Application to the Nat
 ional Longitudinal Study of Adolescent Health - Katherine McLaughlin (Oreg
 on State University)
DTSTART:20160825T152000Z
DTEND:20160825T160000Z
UID:TALK67060@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Co-authors: Krista J. Gile (University of Massachusetts 
  at Amherst)\, Mark S. Handcock (University of California\, Los  Angeles) 
 <br></span> <span><br>It is common in the analysis of social network data 
 to assume that it  represents a census of the networked population of inte
 rest. Often the data  result from sampling of the networked population via
  a known mechanism. However\,  most social network analysis ignores the pr
 oblem of missing data by including  only actors with complete observations
 . In this talk we address the modeling of  networks with missing data\, de
 veloping previous ideas in missing data\, network  modeling\, and network 
 sampling. We show the value of the mean value  parametrization to study di
 fferences between modeling approaches. We also  develop goodness-of-fit te
 chniques to better understand model fit. The ideas are  motivated by an an
 alysis of a friendship network from the National Longitudinal  Study of Ad
 olescent Health. The work presented is by Krista J. Gile and Mark S.  Hand
 cock.</span>
LOCATION:Seminar Room 1\, Newton Institute
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