A Z‐theorem with Estimated Nuisance Parameters and Correction Note for ‘Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression’

Norman E. Breslow and Jon A. Wellner

Scandinavian Journal of Statistics, 2008, vol. 35, issue 1, 186-192

Abstract: Abstract. We state and prove a limit theorem for estimators of a general, possibly infinite dimensional parameter based on unbiased estimating equations containing estimated nuisance parameters. The theorem corrects a gap in the proof of one of the assertions of our paper ‘Weighted likelihood for semiparametric models and two‐phase stratified samples, with application to Cox regression’ [Scand. J. Statist. 34 (2007) 86–102].

Date: 2008
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https://doi.org/10.1111/j.1467-9469.2007.00574.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:35:y:2008:i:1:p:186-192

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