3 citations · 3 across the 10 of their papers we have counts for
7 papers · 1 filter
Revisiting dependence in multiple testing: empirical distribution approaches for FDP control
Fangyong Zheng, Pengfei Li, Yuan Jiang +1
Large-scale multiple hypothesis testing is central to the analysis of high-throughput data, where controlling false discoveries is critical. Classical procedures typically rely on…
A semiparametric two-sample homogeneity test with nonignorable nonresponse using callback data
Xinyu Wang, Tao Yu, Chunlin Wang +1
Testing the homogeneity of two distributions is fundamental in statistics, but classical procedures may fail under nonignorable nonresponse. In many surveys, callback data record r…
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
Fangyong Zheng, Pengfei Li, Tao Yu
In medical diagnostics, leveraging multiple biomarkers can significantly improve classification accuracy compared to using a single biomarker. While existing methods based on expon…
Receiver operating characteristic curve analysis with non-ignorable missing disease status
Dingding Hu, Tao Yu, Pengfei Li
This article considers the receiver operating characteristic (ROC) curve analysis for medical data with non-ignorable missingness in the disease status. In the framework of the log…
Shape-restricted transfer learning analysis for generalized linear regression model
Pengfei Li, Tao Yu, Chixiang Chen +1
Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveragin…
Maximum profile binomial likelihood estimation for the semiparametric Box--Cox power transformation model
Pengfei Li, Tao Yu, Baojiang Chen +1
The Box--Cox transformation model has been widely applied for many years. The parametric version of this model assumes that the random error follows a parametric distribution, say…