Pursuing sources of heterogeneity in modeling clustered population-Reference-Cited by-同舟云学术

Pursuing sources of heterogeneity in modeling clustered population

Published:2021-02-10 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Li Yan¹^ORCID,Yu Chun²,Zhao Yize³,Yao Weixin⁴^ORCID,Aseltine Robert H.⁵,Chen Kun¹⁵^ORCID

Affiliation:

1. Department of Statistics University of Connecticut Storrs Connecticut

2. School of Statistics Jiangxi University of Finance and Economics Nanchang China

3. Department of Biostatistics Yale School of Public Health New Haven Connecticut

4. Department of Statistics University of California Riverside California

5. Center for Population Health University of Connecticut Health Center Farmington Connecticut

Funder

National Natural Science Foundation of China

U.S. Department of Energy

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13434

Reference45 articles.

1. A new semiparametric approach to finite mixture of regressions using penalized regression via fusion;Austin E.;Statistica Sinica,2020

2. Mixture of linear mixed models using multivariatetdistribution

3. Genome‐wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes

4. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming

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