Research

Publications  —  papers published/accepted

1. Clustering multivariate count data via Dirichlet-multinomial network fusion.
   Xin Zhao, Jingru Zhang, and Wei Lin.
   Computational Statistics & Data Analysis, 2023.
   

2. Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data.
   Jingru Zhang, Kathleen R. Merikangas, Hongzhe Li, and Haochang Shou.
   Annals of Applied Statistics, 2022.
   

3. Graph-based two-sample tests for data with repeated observations.
   Jingru Zhang and Hao Chen.
   Statistica Sinica, 2022.
   

4. Scalable estimation and regularization for the logistic normal multinomial model.
   Jingru Zhang and Wei Lin.
   Biometrics, 2019.
   

Manuscripts submitted/in preparation

1. A new nonparametric test for multivariate paired data and pair matching.
   Jingru Zhang, Hao Chen, and Xiao-Hua Zhou.
   arXiv preprint arXiv:2007.01497, 2020.
   

2. Principal subspace analysis for high-dimensional compositional data.
   Jingru Zhang and Wei Lin.
   arXiv preprint arXiv:2109.04657, 2021. (This paper won the 2019 Zhong Jiaqing outstanding paper award.)
   

3. Causal treatment effect estimation for outcomes measured with uncertainty.
   Jingru Zhang, Mathias Basner, Christopher W. Jones, David F. Dinges, Haochang Shou, and Hongzhe Li, 2023.
   

4. Empirical likelihood tests for variance components in linear mixed-effects models.
   Jingru Zhang, Wei Guo, Joanne S. Carpenter, Nicholas G. Martin, Ian B. Hickie, Andrew Leroux, Kathleen R. Merikangas, Haochang Shou, and Hongzhe Li.
   arXiv preprint arXiv:2208.13936, 2023.
   

5. Non-transient heritability inference based on repeated measures wearable device data.
   Jingru Zhang, Wei Guo, Joanne S. Carpenter, Nicholas G. Martin, Ian B. Hickie, Andrew Leroux, Kathleen R. Merikangas, Haochang Shou, and Hongzhe Li, 2023.
   

6. Mediation analysis with densities as mediators with an application to iCOMPARE trial.
   Jingru Zhang, Mathias Basner, Christopher W.Jones, David F.Dinges, Haochang Shou, and Hongzhe Li
   arXiv preprint arXiv:2208.13939, 2023.

7. Integration of longitudinal wearable device data from multiple sources.
   Jingru Zhang, Hongzhe Li, and Haochang Shou, 2023.

Ongoing works

1. Integration of wearable device data.

2. Nonparametric tests for object data.

3. Doctor-ranking problem.

Software (R package)

• gTests: Graph-based two-sample tests.

• gTestsPair: Nonparametric tests for multivariate paired data and pair matching.

• ELmethodVar: Empirical likelihood inference of variance components in linear mixed-effects models.