19 citations · 72 across the 13 of their papers we have counts for
8 papers · 1 filter
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
Ting Li, Yang Yu, J. S. Marron +1
This paper is motivated by the joint analysis of genetic, imaging, and clinical (GIC) data collected in the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. We propose a r…
Estimating trans-ancestry genetic correlation with unbalanced data resources
Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
The aim of this paper is to propose a novel estimation method of using genetic-predicted observations to estimate trans-ancestry genetic correlations, which describes how genetic a…
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Bingxin Zhao, Shurong Zheng, Hongtu Zhu
Genetic prediction of complex traits and diseases has attracted enormous attention in precision medicine, mainly because it has the potential to translate discoveries from genome-w…
High-Dimensional Spatial Quantile Function-on-Scalar Regression
Zhengwu Zhang, Xiao Wang, Linglong Kong +1
This paper develops a novel spatial quantile function-on-scalar regression model, which studies the conditional spatial distribution of a high-dimensional functional response given…
Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
Bingxin Zhao, Hongtu Zhu
Marginal association summary statistics have attracted great attention in statistical genetics, mainly because the primary results of most genome-wide association studies (GWAS) ar…
Partial Least Squares for Functional Joint Models
Yue Wang, Joseph Ibrahim, Hongtu Zhu
Many biomedical studies have identified important imaging biomarkers that are associated with both repeated clinical measures and a survival outcome. The functional joint model (FJ…