Variance Estimation in the Analysis of Microarray Data

DOI10.1111/j.1467-9868.2008.00690.xzbMath1248.62221OpenAlexW2123952370WikidataQ33502723 ScholiaQ33502723MaRDI QIDQ2920275

Yanyuan Ma, Yuedong Wang, Raymond J. Carroll

Publication date: 16 October 2012

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2740938

zbMATH Keywords

heteroscedasticityvariance function estimationmeasurement errorsemiparametric methodssimulation-extrapolation

Mathematics Subject Classification ID

Related Items (7)

Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models ⋮ Nonparametric estimation of genewise variance for microarray data ⋮ Simulation-extrapolation with latent heteroskedastic error variance ⋮ Structural modeling of measurement error in generalized linear models with Rasch measures as covariates ⋮ Asymptotics of SIMEX-based variance estimation ⋮ Variance function estimation in quantitative mass spectrometry with application to iTRAQ labeling ⋮ Joint adaptive mean-variance regularization and variance stabilization of high dimensional data

Cites Work

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• Empirical simulation extrapolation for measurement error models with replicate measurements.
• DNA Microarray Experiments: Biological and Technological Aspects
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
• Locally efficient semiparametric estimators for functional measurement error models
• Semiparametric efficiency bounds
• Improved statistical tests for differential gene expression by shrinking variance components estimates
• Measurement Error in Nonlinear Models
• Locally Efficient Semiparametric Estimators for Generalized Skew-Elliptical Distributions

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