Abstract #300927


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JSM 2002 Abstract #300927
Activity Number: 286
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300927
Title: Generalised Linear Models for Sparsely Correlated Data
Author(s): Thomas Lumley*+
Affiliation(s): University of Washington
Address: Box 357232, Seattle, Washington, 98195, USA
Keywords: estimating equations ; U-statistics ; subsampling ; GEE
Abstract:

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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