GEE ANALYSIS OF CLUSTERED BINARY DATA WITH DIVERGING NUMBER OF COVARIATES
GEE ANALYSIS OF CLUSTERED BINARY DATA WITH DIVERGING NUMBER OF COVARIATES
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Publisher
Cleveland, OH: Institute of Mathematical Statistics
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Scope and Contents
Contents
Clustered binary data with a large number of covariates have become increasingly common in many scientific disciplines. This paper develops an asymptotic theory for generalized estimating equations (GEE) analysis of clustered binary data when the number of covariates grows to infinity with the number of clusters. In this "large n, diverging p" fram...
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Full title
GEE ANALYSIS OF CLUSTERED BINARY DATA WITH DIVERGING NUMBER OF COVARIATES
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Record Identifier
TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1291388380
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1291388380
Other Identifiers
ISSN
0090-5364
E-ISSN
2168-8966
DOI
10.1214/10-AOS846
