A novel application of finite Gaussian mixture model (GMM) using real and simulated biomarkers of cardiovascular disease to distinguish adolescents with and without obesity-Reference-Cited by-同舟云学术

A novel application of finite Gaussian mixture model (GMM) using real and simulated biomarkers of cardiovascular disease to distinguish adolescents with and without obesity

Published:2023-01-02 Issue:1 Volume:9 Page:106-120
ISSN:2373-7484
Container-title:Communications in Statistics: Case Studies, Data Analysis and Applications
language:en
Short-container-title:Communications in Statistics: Case Studies, Data Analysis and Applications

Author:

Hossain Md Jobayer¹²,Balagopal P. Babu³⁴⁵

Affiliation:

1. Biostatistics Program, Biomedical Research, A. I. Dupont Hospital for Children, Nemours Children’s Health System, Wilmington, Delaware, USA

2. Applied Economics and Statistics, University of Delaware, Newark, Delaware, USA

3. Biomedical Research, Nemours Children’s Health System, Jacksonville, Florida, USA

4. Division of Pediatrics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA

5. Division of Pediatrics, Mayo Clinic College of Medicine, Jacksonville, Florida, USA

Funder

National Institutes of Health (NIH) COBRE

National Institute of General Medical Sciences of the National Institutes of Health IDeA

American Heart Association

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/23737484.2023.2194249

Reference28 articles.

1. Reversal of Obesity-Related Hypoadiponectinemia by Lifestyle Intervention: A Controlled, Randomized Study in Obese Adolescents

2. Changes in Circulating Satiety Hormones in Obese Children: A Randomized Controlled Physical Activity-Based Intervention Study

3. Nontraditional Risk Factors and Biomarkers for Cardiovascular Disease: Mechanistic, Research, and Clinical Considerations for Youth

4. Model-Based Gaussian and Non-Gaussian Clustering

5. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation