This is a preview. Log in through your library . Abstract Generalized linear models are popular for modelling a large variety of data. We consider variable selection through penalized methods by ...

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Gene-environment (G×E) interactions play a crucial role in many complex diseases. Many studies have highlighted the importance of the linear and nonlinear effects of G×E interactions to the risk of ...