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Abstract Details
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Activity Number:
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603
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Government Statistics
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| Abstract - #306121 |
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Title:
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Polytomous Logistic Regression with Multi-Cohort Longitudinal Surveys
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Author(s):
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Ivan Carrillo-Garcia*+ and Alan F. Karr
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Companies:
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NISS and NISS
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Address:
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19 T.W. Alexander Drive, Durham, NC, 27709-4006, United States
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Keywords:
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Complex surveys ;
Longitudinal surveys ;
Rotating panels ;
Polytomous responses ;
Generalized Estimating Equations ;
Odds ratios
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Abstract:
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The GEE of Liang and Zeger (1986) was proposed for modeling univariate clustered responses. When the response is binary, Lipsitz, Laird, and Harringon (1991) argue that a better measure of association is the odds ratio rather than Pearson correlation. Liang, Zeger, Qaqish (1992) proposed an extension to the polytomous case. For complex surveys, the methods in those papers are straightforwardly applicable to the single-cohort case. Carrillo and Karr (2011) proposed a GEE, for complex multi-cohort longitudinal surveys, for univariate responses. In this talk we present an extension of this previous investigation, applicable to polytomous responses with multi-cohort longitudinal surveys. We use data from the Survey of Doctorate Recipients (SDR) for illustration.
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