Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS

DOI10.1214/19-AOAS1310zbMath1439.62217OpenAlexW3017259912WikidataQ98502418 ScholiaQ98502418MaRDI QIDQ2179968

Wanghuan Chu, Jingyuan Liu, Matthew Reimherr, Run-Ze Li

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1587002675

zbMATH Keywords

varying coefficient modelsmixed effectsgenome-wide association study (GWAS)ultra high-dimensional longitudinal data

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Related Items

Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS

Cites Work

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