activity
20132020
most citedImputation of truncated p-values for meta-analysis methods and its genomic application

9 citations · 17 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2020★ 3 cited

A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies

Yue Wei, Jason C. Hsu, Wei Chen +2

With the uptake of targeted therapies, instead of the "one-fits-all" approach, modern randomized clinical trials (RCTs) often aim to develop treatments that target a subgroup of pa…

stat.AP2019

Gene-based Association Analysis for Bivariate Time-to-event Data through Functional Regression with Copula Models

Yue Wei, Yi Liu, Wei Chen +1

Several gene-based association tests for time-to-event traits have been proposed recently, to detect whether a gene region (containing multiple variants), as a set, is associated w…

stat.ME2019★ 3 cited

Copula-based Semiparametric Regression Method for Bivariate Data under General Interval Censoring

Tao Sun, Ying Ding

This research is motivated by discovering and underpinning genetic causes for the progression of a bilateral eye disease, Age-related Macular Degeneration (AMD), of which the prima…

stat.ML2017★ 2 cited

DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data

Zhe Sun, Ting Wang, Ke Deng +5

Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become a revolutionary tool to study cellular and molecular processes at single cell resolution. Among existing tec…

stat.AP2015★ 9 cited

Imputation of truncated p-values for meta-analysis methods and its genomic application

Shaowu Tang, Ying Ding, Etienne Sibille +3

Microarray analysis to monitor expression activities in thousands of genes simultaneously has become routine in biomedical research during the past decade. A tremendous amount of e…

stat.ME2014

Subgroup Mixable Inference in Personalized Medicine, with an Application to Time-to-Event Outcomes

Ying Ding, Hui-Min Lin, Jason C. Hsu

Measuring treatment efficacy in mixture of subgroups from a randomized clinical trial is a fundamental problem in personalized medicine development, in deciding whether to treat th…

math.ST2013

Estimating mean survival time: when is it possible?

Ying Ding, Bin Nan

For right censored survival data, it is well known that the mean survival time can be consistently estimated when the support of the censoring time contains the support of the surv…