90 citations · 141 across the 5 of their papers we have counts for
5 papers
A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
Zhonghua Liu, Xihong Lin
Joint analysis of multiple phenotypes can increase statistical power in genetic association studies. Principal component analysis, as a popular dimension reduction method, especial…
Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications in Whole Genome Association Studies
Zilin Li, Yaowu Liu, Xihong Lin
We consider in this paper detection of signal regions associated with disease outcomes in whole genome association studies. Gene- or region-based methods have become increasingly p…
Joint analysis of SNP and gene expression data in genetic association studies of complex diseases
Yen-Tsung Huang, Tyler J. VanderWeele, Xihong Lin
Genetic association studies have been a popular approach for assessing the association between common Single Nucleotide Polymorphisms (SNPs) and complex diseases. However, other ge…
Hypothesis testing for high-dimensional sparse binary regression
Rajarshi Mukherjee, Natesh S. Pillai, Xihong Lin
In this paper, we study the detection boundary for minimax hypothesis testing in the context of high-dimensional, sparse binary regression models. Motivated by genetic sequencing a…
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig Selector
Lee Dicker, Xihong Lin
The Dantzig selector (Candes and Tao, 2007) is a popular l1-regularization method for variable selection and estimation in linear regression. We present a very weak geometric condi…