activity
20192021
most citedTesting for publication bias in meta-analysis under Copas selection model

6 citations · 7 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ML2021

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach

Sai Li, Tianxi Cai, Rui Duan

The limited representation of minorities and disadvantaged populations in large-scale clinical and genomics research has become a barrier to translating precision medicine research…

math.ST20211 cited

On the global identifiability of logistic regression models with misclassified outcomes

Rui Duan, Yang Ning, Jiasheng Shi +3

In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…

stat.ME20206 cited

Testing for publication bias in meta-analysis under Copas selection model

Rui Duan, Jin Piao, Arielle Marks-Anglin +5

In meta-analyses, publication bias is a well-known, important and challenging issue because the validity of the results from a meta-analysis is threatened if the sample of studies…

stat.ME2020

Missing at Random or Not: A Semiparametric Testing Approach

Rui Duan, C. Jason Liang, Pamela Shaw +2

Practical problems with missing data are common, and statistical methods have been developed concerning the validity and/or efficiency of statistical procedures. On a central focus…

stat.ME2019

Heterogeneity-aware and communication-efficient distributed statistical inference

Rui Duan, Yang Ning, Yong Chen

In multicenter research, individual-level data are often protected against sharing across sites. To overcome the barrier of data sharing, many distributed algorithms, which only re…