Data visualisation approaches for component network meta-analysis: visualising the data structure.
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| Title: | Data visualisation approaches for component network meta-analysis: visualising the data structure. |
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| Authors: | Freeman SC; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK. suzanne.freeman@leicester.ac.uk.; NIHR Complex Reviews Support Unit, University of Leicester and University of Glasgow, Leicester, UK. suzanne.freeman@leicester.ac.uk., Saeedi E; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK.; NIHR Complex Reviews Support Unit, University of Leicester and University of Glasgow, Leicester, UK., Ordóñez-Mena JM; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK., Nevill CR; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK.; NIHR Complex Reviews Support Unit, University of Leicester and University of Glasgow, Leicester, UK., Hartmann-Boyce J; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK., Caldwell DM; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Welton NJ; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Cooper NJ; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK.; NIHR Complex Reviews Support Unit, University of Leicester and University of Glasgow, Leicester, UK., Sutton AJ; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, UK.; NIHR Complex Reviews Support Unit, University of Leicester and University of Glasgow, Leicester, UK. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2023 Sep 15; Vol. 23 (1), pp. 208. Date of Electronic Publication: 2023 Sep 15. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2288 |
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| DOI: | 10.1186/s12874-023-02026-z |
