Technical Complements to the paper Shared Uncertainty in Measurement Error Problems , With Application to Nevada Test Site Fallout Data
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Semiparametric regression modeling with mixtures of Berkson and classical error, with application to fallout from the Nevada test site.
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 semiparametrically. Such combinations of semiparametric methods for the dose response as well as the late...
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In radiation epidemiology, it is often necessary to use mathematical models in the absence of direct measurements of individual doses. When complex models are used as surrogates for direct measurements to estimate individual doses that occurred almost 50 years ago, dose estimates will be associated with considerable error, this error being a mixture of (a) classical measurement error due to ind...
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