This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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278
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Type:
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Invited
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #306130 |
Title:
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Doubly robust inference with missing data in survey sampling
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Author(s):
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Jae-Kwang Kim*+ and David Haziza
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Companies:
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Iowa State University and Université de Montréal
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Address:
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Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Imputation ;
Missing Data ;
Nonresponse ;
Response model ;
Two-phase sampling
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Abstract:
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Statistical inference with missing data requires assumptions about the population or about the response probability. Doubly robust (DR) estimators use both relationships to estimate the parameters of interest, so that they are consistent even when one of the models is misspecified. In this paper, we propose a method of computing propensity scores
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Authors who are presenting talks have a * after their name.
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