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

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stat.ME2024

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…

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

Modeling Interconnected Modules in Multivariate Outcomes: Evaluating the Impact of Alcohol Intake on Plasma Metabolomics

Yifan Yang, Chixiang Chen, Hwiyoung Lee +2

Alcohol consumption has been shown to influence cardiovascular mechanisms in humans, leading to observable alterations in the plasma metabolomic profile. Regression models are comm…

stat.ME20241 cited

Gerontologic Biostatistics 2.0: Developments over 10+ years in the age of data science

Chixiang Chen, Michelle Shardell, Jaime Lynn Speiser +5

Background: Introduced in 2010, the sub-discipline of gerontologic biostatistics (GBS) was conceptualized to address the specific challenges in analyzing data from research studies…

stat.ME20231 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…