1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Modeling Between-Study Heterogeneity for Improved Reproducibility in Gene Signature Selection and Clinical Prediction
Naim U. Rashid, Quefeng Li, Jen Jen Yeh +1
In the genomic era, the identification of gene signatures associated with disease is of significant interest. Such signatures are often used to predict clinical outcomes in new pat…