Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine

DOI10.1111/biom.12438zbMath1419.62380OpenAlexW2177629791WikidataQ36909495 ScholiaQ36909495MaRDI QIDQ5739258

Dehan Kong, Jung-Ying Tzeng, Fang-Chi Hsu, Arnab Maity

Publication date: 15 July 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4870165

zbMATH Keywords

bootstrapquantile regressionpermutationtestingsemiparametricsmoothing parameterkernel machinesgenetic marker-set association

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Varying-coefficient partially functional linear quantile regression models, Nonparametric quantile regression estimation for functional data with responses missing at random, Statistical inference for high-dimensional pathway analysis with multiple responses

Uses Software

• gss

Cites Work

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