18 citations · 22 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Joint and Individual Component Regression
Peiyao Wang, Haodong Wang, Quefeng Li +2
Multi-group data are commonly seen in practice. Such data structure consists of data from multiple groups and can be challenging to analyze due to data heterogeneity. We propose a…
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…