Learning latent heterogeneity for type 2 diabetes patients using longitudinal health markers in electronic health records-Reference-Cited by-同舟云学术

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Learning latent heterogeneity for type 2 diabetes patients using longitudinal health markers in electronic health records

Published:2021-02-15 Issue:8 Volume:40 Page:1930-1946
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Lou Jitong¹^ORCID,Wang Yuanjia²^ORCID,Li Lang³,Zeng Donglin¹

Affiliation:

1. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

2. Department of Biostatistics Columbia University New York City New York USA

3. Department of Biomedical Informatics Ohio State University Columbus Ohio USA

Funder

National Institute of General Medical Sciences

National Institute of Mental Health

National Institute of Neurological Disorders and Stroke

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8880

Reference22 articles.

1. The Emergence of National Electronic Health Record Architectures in the United States and Australia: Models, Costs, and Questions

2. Electronic Health Records and Quality of Diabetes Care

3. The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes

4. The analysis of multivariate longitudinal data: A review

5. Nonlinear models for repeated measurement data: An overview and update

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models;Electronic Journal of Statistics;2023-01-01

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