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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Publication Detail

Title: Empirical Likelihood based Inference for Additive Partial Linear Measurement Error Models.

Authors: Liang, Hua; Su, Haiyan; Thurston, Sally W; Meeker, John D; Hauser, Russ

Published In Stat Interface, (2009 Feb 24)

Abstract: This paper considers statistical inference for additive partial linear models when the linear covariate is measured with error. To improve the accuracy of the normal approximation based confidence intervals, we develop an empirical likelihood based statistic, which is shown to be asymptotically chi-square distributed. We emphasize the finite-sample performance of the proposed method by conducting simulation experiments. The method is used to analyze the relationship between semen quality and phthalate exposure from an environment study.

PubMed ID: 20161079 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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