Logistic Bayesian LASSO for Identifying Association with Rare Haplotypes and Application to Age-Related Macular Degeneration

DOI10.1111/j.1541-0420.2011.01680.xzbMath1274.62723OpenAlexW2108733637WikidataQ51527934 ScholiaQ51527934MaRDI QIDQ2912358

Shili Lin, Swati Biswas

Publication date: 14 September 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01680.x

zbMATH Keywords

regularizationrare variantsGWASmissing heritabilityretrospective likelihoodcombination of common SNPscomplement factor H gene

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure ⋮ Detecting rare and common haplotype–environment interaction under uncertainty of gene–environment independence assumption ⋮ Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures

Cites Work

• Unnamed Item
• The Bayesian Lasso
• Logistic disease incidence models and case-control studies
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*

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