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Understanding nonparametric estimation for clustered data

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  • Richard Huggins

Abstract

In this note we give an alternative formulation of the nonparametric estimators of Wang (2003) with the identity link. This results in a closed form of the estimator that has computational advantages and gives insight into the rationale behind the estimator. Copyright 2006, Oxford University Press.

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  • Richard Huggins, 2006. "Understanding nonparametric estimation for clustered data," Biometrika, Biometrika Trust, vol. 93(2), pages 486-489, June.
    • Handle: RePEc:oup:biomet:v:93:y:2006:i:2:p:486-489
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    File URL: http://hdl.handle.net/10.1093/biomet/93.2.486
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    Cited by:

    1. Arnab Maity & Raymond J. Carroll & Enno Mammen & Nilanjan Chatterjee, 2009. "Testing in semiparametric models with interaction, with applications to gene–environment interactions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 75-96, January.

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