EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis-Reference-Cited by-同舟云学术

EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis

Published:2021-02-24 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Marks‐Anglin Arielle¹^ORCID,Luo Chongliang¹,Piao Jin²,Gibbons Mary Beth Connolly³,Schmid Christopher H.⁴^ORCID,Ning Jing⁵^ORCID,Chen Yong¹^ORCID

Affiliation:

1. Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Philadelphia Pennsylvania USA

2. Department of Preventive Medicine University of Southern California Los Angeles California USA

3. Department of Psychiatry University of Pennsylvania Philadelphia Pennsylvania USA

4. Department of Biostatistics Brown University Providence Rhode Island USA

5. Department of Biostatistics The University of Texas MD Anderson Cancer Center Houston Texas USA

Funder

U.S. National Library of Medicine

National Institute of Child Health and Human Development

National Institute of Allergy and Infectious Diseases

National Cancer Institute

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.13441

Reference44 articles.

1. Nonpublication Rates and Characteristics of Registered Randomized Clinical Trials in Digital Health: Cross-Sectional Analysis

2. Bias in reporting clinical trials

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

4. Empirical evaluation showed that the Copas selection model provided a useful summary in 80% of meta-analyses

5. An alternative pseudolikelihood method for multivariate random-effects meta-analysis

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