Bayesian Error‐in‐Variable Survival Model for the Analysis of GeneChip Arrays

DOI10.1111/j.1541-0420.2005.00313.xzbMath1077.62116OpenAlexW2062782204WikidataQ51969490 ScholiaQ51969490MaRDI QIDQ5714637

Jerome Ritz, Sabina Chiaretti, Robin Foa, Joseph G. Ibrahim, Robert Gentleman, Mahlet G. Tadesse

Publication date: 3 January 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00313.x

zbMATH Keywords

Survival analysisDNA microarrayGene expressionAcute lymphoblastic leukemiaError-in-variables model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (5)

Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland ⋮ Model selection in high-dimensional noisy data: a simulation study ⋮ Survival prediction using gene expression data: a review and comparison ⋮ Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error ⋮ A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes

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