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stat.CO2023★ 1 cited
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
Hillary M. Heiling, Naim U. Rashid, Quefeng Li +1
Generalized linear mixed models (GLMMs) are widely used in research for their ability to model correlated outcomes with non-Gaussian conditional distributions. The proper selection…
stat.ME2023
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
Hillary M. Heiling, Naim U. Rashid, Quefeng Li +3
Modern biomedical datasets are increasingly high dimensional and exhibit complex correlation structures. Generalized Linear Mixed Models (GLMMs) have long been employed to account…