Variable Selection for Generalized Single-Index Varying-Coefficient Models with Applications to Synergistic G × E Interactions

Complex diseases such as type 2 diabetes are influenced by both environmental and genetic risk factors, leading to a growing interest in identifying gene–environment (G × E) interactions. A three-step variable selection method for single-index varying-coefficients models was proposed in recent resea...

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Bibliographic Details
Main Authors:	Shunjie Guan, Xu Liu, Yuehua Cui
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Mathematics
Subjects:	gene–environment interaction (G × E) generalized single-index varying-coefficient models (gSIVCM) mixture of exposures nonlinear G × E synergistic G × E
Online Access:	https://www.mdpi.com/2227-7390/13/3/469
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Variable Selection for Generalized Single-Index Varying-Coefficient Models with Applications to Synergistic G × E Interactions

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