Nonparametric variance estimation in the analysis of microarray data: a measurement error approach
نویسندگان
چکیده
منابع مشابه
Nonparametric variance estimation in the analysis of microarray data: a measurement error approach.
This article investigates the effects of measurement error on the estimation of nonparametric variance functions. We show that either ignoring measurement error or direct application of the simulation extrapolation, SIMEX, method leads to inconsistent estimators. Nevertheless, the direct SIMEX method can reduce bias relative to a naive estimator. We further propose a permutation SIMEX method wh...
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Statistical inference for microarray experiments usually involves the estimation of error variance for each gene. Because the sample size available for each gene is often low, the usual unbiased estimator of the error variance can be unreliable. Shrinkage methods, including empirical Bayes approaches that borrow information across genes to produce more stable estimates, have been developed in r...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2008
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asn017