4 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Nonparametric empirical Bayes biomarker imputation and estimation
Alton Barbehenn, Sihai Dave Zhao
Biomarkers are often measured in bulk to diagnose patients, monitor patient conditions, and research novel drug pathways. The measurement of these biomarkers often suffers from det…
Linear shrinkage for predicting responses in large-scale multivariate linear regression
Yihe Wang, Sihai Dave Zhao
We propose a new prediction method for multivariate linear regression problems where the number of features is less than the sample size but the number of outcomes is extremely lar…
Estimation and inference for the indirect effect in high-dimensional linear mediation models
Ruixuan Rachel Zhou, Liewei Wang, Sihai Dave Zhao
Mediation analysis is difficult when the number of potential mediators is larger than the sample size. In this paper we propose new inference procedures for the indirect effect in…
Simultaneous estimation of normal means with side information
Sihai Dave Zhao
The integrative analysis of multiple datasets is an important strategy in data analysis. It is increasingly popular in genomics, which enjoys a wealth of publicly available dataset…