Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances-Reference-Cited by-同舟云学术

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Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances

Published:2021-04-12 Issue:15 Volume:40 Page:3582-3603
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Li Hao¹,Lim Daeyoung¹,Chen Ming‐Hui¹^ORCID,Ibrahim Joseph G.²^ORCID,Kim Sungduk³,Shah Arvind K.⁴,Lin Jianxin⁴

Affiliation:

1. Department of Statistics University of Connecticut Storrs Connecticut

2. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill North Carolina

3. Biostatistics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland

4. Merck & Co., Inc. Kenilworth New Jersey

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8983

Reference33 articles.

1. Deaths: leading causes for 2017;Heron M;Nat Vit Stat Rep,2019

2. Use of ezetimibe results in more patients reaching lipid targets without side effects

3. Triglycerides and Cardiovascular Disease

4. Triglycerides and cardiovascular disease

5. Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease

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. metapack: Bayesian Meta-Analysis and Network Meta-Analysis;CRAN: Contributed Packages;2021-02-17

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