Record number :
84053
Title of article :
Semiparametric Regression Modeling with Mixtures of Berkson and Classical Error, with Application to Fallout from the Nevada Test Site
Author/Authors :
Carroll، Raymond J. نويسنده , , Mallick، Bani K. نويسنده , , Hoffman، F. Owen نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Pages :
-12
From page :
13
To page :
0
Abstract :
We construct Bayesian methods for semiparametric modeling of a monotonic regression function when the predictors are measured with classical error, Berkson error, or a mixture of the two. Such methods require a distribution for the unobserved (latent) predictor, a distribution we also model semi-parametrically. Such combinations of semiparametric methods for the dose-response as well as the latent variable distribution have not been considered in the measurement error literature for any form of measurement error. In addition, our methods represent a new approach to those problems where the measurement error combines Berkson and classical components. While the methods are general, we develop them around a specific application, namely, the study of thyroid disease in relation to radiation fallout from the Nevada test site. We use this data to illustrate our methods, which suggest a point estimate (posterior mean) of relative risk at high doses nearly double that of previous analyses but that also suggest much greater uncertainty in the relative risk.
Keywords :
APPLICABILITY , ANALYSIS METHODS , CHROMOSOMAL FRAGILE SITES , IDENTIFICATION OF CHROMOSOMAL FRAGILE SITES
Journal title :
BIOMETRICS (BIOMETRIC SOCIETY)
Serial Year :
2002
Link To Document :
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