3 citations · 4 across the 5 of their papers we have counts for
6 papers
Statistical Inference for Fuzzy Clustering
Qiuyi Wu, Zihan Zhu, Anru R. Zhang
Clustering is a central tool in biomedical research for discovering heterogeneous patient subpopulations, where group boundaries are often diffuse rather than sharply separated. Tr…
Subtype-Aware Registration of Longitudinal Electronic Health Records
Xin Gai, Shiyi Jiang, Anru R. Zhang
Electronic Health Records (EHRs) contain extensive patient information that can inform downstream clinical decisions, such as mortality prediction, disease phenotyping, and disease…
Functional Post-Clustering Selective Inference with Applications to EHR Data Analysis
Zihan Zhu, Xin Gai, Anru R. Zhang
In electronic health records (EHR) analysis, clustering patients according to patterns in their data is crucial for uncovering new subtypes of diseases. Existing medical literature…
Blessing of dimension in Bayesian inference on covariance matrices
Shounak Chattopadhyay, Anru R. Zhang, David B. Dunson
Bayesian factor analysis is routinely used for dimensionality reduction in modeling of high-dimensional covariance matrices. Factor analytic decompositions express the covariance a…
Computational and Statistical Thresholds in Multi-layer Stochastic Block Models
Jing Lei, Anru R. Zhang, Zihan Zhu
We study the problem of community recovery and detection in multi-layer stochastic block models, focusing on the critical network density threshold for consistent community structu…
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models
Muhang Tian, Bernie Chen, Allan Guo +2
Electronic Health Records (EHRs) are rich sources of patient-level data, offering valuable resources for medical data analysis. However, privacy concerns often restrict access to E…