Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
Impact in
Classified as
- Journal
- Statistics in Medicine
In The Last Decade
doi.org/10.1002/sim.3602 →Countries where authors are citing Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
This map shows the geographic impact of Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses more than expected).
Fields of papers citing Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
This network shows the impact of Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses.
About Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
This paper, published in 2009, received 513 indexed citations . Written by Dan Jackson, Ian R. White and Simon G. Thompson covering the research area of Statistics and Probability and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Public Health, Environmental and Occupational Health (58 citations), Statistics and Probability (58 citations), Statistics, Probability and Uncertainty (53 citations), Surgery (40 citations) and Pathology and Forensic Medicine (36 citations). Published in Statistics in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1002/sim.3602.