activity
20182024
most citedEmpirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

11 citations · 17 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2024

Exploring causal effects of hormone- and radio-treatments in an observational study of breast cancer using copula-based semi-competing risks models

Tonghui Yu, Mengjiao Peng, Yifan Cui +2

Breast cancer patients may experience relapse or death after surgery during the follow-up period, leading to dependent censoring of relapse. This phenomenon, known as semi-competin…

stat.ME2024

Advancing Information Integration through Empirical Likelihood: Selective Reviews and a New Idea

Chixiang Chen, Jia Liang, Elynn Chen +1

Information integration plays a pivotal role in biomedical studies by facilitating the combination and analysis of independent datasets from multiple studies, thereby uncovering va…

stat.ME2023★ 1 cited

An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis

Chixiang Chen, Ming Wang, Shuo Chen

Many observational studies and clinical trials collect various secondary outcomes that may be highly correlated with the primary endpoint. These secondary outcomes are often analyz…

stat.ME2023★ 3 cited

Analyzing Risk Factors for Post-Acute Recovery in Older Adults with Alzheimer's Disease and Related Dementia: A New Semi-Parametric Model for Large-Scale Medicare Claims

Biyi Shen, Haoyu Ren, Michelle Shardell +2

Nearly 300,000 older adults experience a hip fracture every year, the majority of which occur following a fall. Unfortunately, recovery after fall-related trauma such as hip fractu…

stat.ME2020★ 2 cited

A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood

Chixiang Chen, Ming Wang, Rongling Wu +1

Conventional likelihood-based information criteria for model selection rely on the distribution assumption of data. However, for complex data that are increasingly available in man…

stat.ME2018★ 11 cited

Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

Chixiang Chen, Biyi Shen, Lijun Zhang +2

Longitudinal data are common in clinical trials and observational studies, where missing outcomes due to dropouts are always encountered. Under such context with the assumption of…