17 citations · 18 across the 6 of their papers we have counts for
6 papers
Low-rank Latent Matrix-factor Prediction Modeling for Generalized High-dimensional Matrix-variate Regression
Yuzhe Zhang, Xu Zhang, Hong Zhang +2
Motivated by diagnosing the COVID-19 disease using 2D image biomarkers from computed tomography (CT) scans, we propose a novel latent matrix-factor regression model to predict resp…
Distance-based regression analysis for measuring associations
Yuke Shi, Wei Zhang, Aiyi Liu +1
Distance-based regression model, as a nonparametric multivariate method, has been widely used to detect the association between variations in a distance or dissimilarity matrix for…
Profile and Globe Tests of Mean Surfaces for Two-Sample Bivariate Functional Data
Jin Yang, Tao Zhang, Chunling Liu +2
Multivariate functional data has received considerable attention but testing for equality of mean surfaces and its profile has limited progress. The existing literature has tested…
An efficient and doubly robust empirical likelihood approach for estimating equations with missing data
Tianqing Liu, Xiaohui Yuan, Zhaohai Li +1
This paper considers an empirical likelihood inference for parameters defined by general estimating equations, when data are missing at random. The efficiency of existing estimator…
The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework
Zhiwei Zhang, Lei Nie, Guoxing Soon +1
Predictive or treatment selection biomarkers are usually evaluated in a subgroup or regression analysis with focus on the treatment-by-marker interaction. Under a potential outcome…
Nonparametric ROC Summary Statistics for Correlated Diagnostic Marker Data
Liansheng Larry Tang, Aiyi Liu, Zhen Chen +3
We propose efficient nonparametric statistics to compare medical imaging modalities in multi-reader multi-test data and to compare markers in longitudinal ROC data. The proposed me…