Robust regression for clustered data with application to binary responses
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Updated: Sep 3, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
1Section on Biostatistics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157-1063, USA. jpreisse@rc.phs.wfubmc.edu
Abstract:
Generalized estimating equations (GEE) can be highly influenced by the presence of unusual data points. A generalization of the GEE procedure, which yields parameter estimates and fitted values that are resistant to influential data, is introduced. Resistant generalized estimating equations (REGEE) include weights in the estimating equations to downweight influential observations or clusters. Influential observations are downweighted according to their leverage or residual in an example of correlated binary regression applied to 137 urinary incontinent elderly patients from 38 medical practices.
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