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FEATURE SELECTION FOR GENERALIZED VARYING COEFFICIENT MIXED-EFFECT MODELS WITH APPLICATION TO OBESITY GWAS

Motivated by an empirical analysis of data from a genome-wide association study on obesity, measured by the body mass index (BMI), we propose a two-step gene-detection procedure for generalized varying coefficient mixed-effects models with ultrahigh dimensional covariates. The proposed procedure sel...

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Detalles Bibliográficos
Publicado en:Ann Appl Stat
Main Authors: Chu, Wanghuan, Li, Runze, Liu, Jingyuan, Reimherr, Matthew
Formato: Artigo
Idioma:Inglês
Publicado: 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7426018/
https://ncbi.nlm.nih.gov/pubmed/32802245
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/19-aoas1310
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