A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses-Reference-Cited by-同舟云学术

A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses

Published:2018-09-06 Issue:1 Volume:10 Page:83-98
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Res Syn Meth

Author:

Langan Dean¹²^ORCID,Higgins Julian P.T.³,Jackson Dan⁴^ORCID,Bowden Jack³,Veroniki Areti Angeliki⁵⁶⁷^ORCID,Kontopantelis Evangelos²^ORCID,Viechtbauer Wolfgang⁸,Simmonds Mark⁹

Affiliation:

1. Great Ormond Street Institute of Child HealthUCL London UK

2. Centre for Health Informatics, Institute of Population HealthUniversity of Manchester Manchester UK

3. School of Social and Community MedicineUniversity of Bristol Bristol UK

4. Statistical Innovation GroupAstraZeneca Cambridge UK

5. Li Ka Shing Knowledge Institute, St. Michael's Hospital 209 Victoria Street, East Building Toronto Ontario M5B 1T8

6. Department of Primary EducationSchool of Education, University of Ioannina Ioannina Greece

7. Institute of Reproductive and Developmental Biology, Department of Surgery & CancerFaculty of Medicine, Imperial College London W12 0NN UK

8. Department of Psychiatry and NeuropsychologyMaastricht University Maastricht The Netherlands

9. Centre for Reviews and DisseminationUniversity of York York UK

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1316

Reference50 articles.

1. Meta-analysis in clinical trials

2. Nonparametric estimation of heterogeneity variance for the standardised difference used in meta-analysis

3. Estimation of between-trial variance in sequential meta-analyses: A simulation study

4. A comparison of heterogeneity variance estimators in combining results of studies

5. Methods to estimate the between‐study variance and its uncertainty in meta‐analysis

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