Activity Number:
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286
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Type:
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Contributed
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Date/Time:
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Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract - #300927 |
Title:
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Generalised Linear Models for Sparsely Correlated Data
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Author(s):
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Thomas Lumley*+
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Affiliation(s):
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University of Washington
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Address:
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Box 357232, Seattle, Washington, 98195, USA
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Keywords:
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estimating equations ; U-statistics ; subsampling ; GEE
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Abstract:
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Marginal generalised linear models have been widely used for longitudinal data and time series. I discuss their use for sparsely correlated data, defined heuristically as data where two randomly chosen small subsets of the data are likely to be independent. I will present a formal definition of sparse correlation, outline how the asymptotic properties of generalised linear models are derived, and mention some medical applications.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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