Testing small study effects in multivariate meta‐analysis-Reference-Cited by-同舟云学术

Testing small study effects in multivariate meta‐analysis

Published:2020-08-29 Issue:4 Volume:76 Page:1240-1250
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Hong Chuan¹^ORCID,Salanti Georgia²,Morton Sally C.³,Riley Richard D.⁴,Chu Haitao⁵,Kimmel Stephen E.⁶⁷,Chen Yong⁷^ORCID

Affiliation:

1. Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts

2. Institute of Social and Preventive Medicine University of Bern Bern Switzerland

3. Department of Statistics Virginia Tech Blacksburg Virginia

4. Centre for Prognosis Research, School of Medicine Keele University Staffordshire UK

5. Division of Biostatistics University of Minnesota Minneapolis Minnesota

6. Department of Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania

7. Department of Biostatistics, Epidemiology & Informatics Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

U.S. National Library of Medicine

National Institute of Allergy and Infectious Diseases

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.13342

Reference33 articles.

1. Operating Characteristics of a Rank Correlation Test for Publication Bias

2. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

3. The control of the false discovery rate in multiple testing under dependency

4. Testing for publication bias in diagnostic meta-analysis: a simulation study

5. Identifying outcome reporting bias in randomised trials on PubMed: review of publications and survey of authors

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