GRADE guidelines: 8. Rating the quality of evidence--indirectness.

By G. Guyatt, Andrew D. Oxman, Regina Kunz, J. Woodcock, J. Brożek, Mark Helfand, P. Alonso-Coello, Y. Falck-Ytter, Roman Jaeschke, G. Vist and 7 more. Journal of Clinical Epidemiology, 2011

1,166 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/39591c6a46e3c02704204d39112d445778932040

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In Economics and Econometrics

1. Georgia Salanti
2. A. Chaimani
3. Julian P. T. Higgins
4. Matthias Egger
5. C. Del Giovane
6. Douglas G. Altman
7. David Moher

In Statistics and Probability

1. A. Chaimani
2. Georgia Salanti
3. Julian P. T. Higgins
4. C. Del Giovane
5. Matthias Egger
6. Adriani Nikolakopoulou
7. Theodoros Papakonstantinou
8. Ian R. White

Citations in the corpus

• CINeMA: An approach for assessing confidence in the results of a network meta-analysis (2020, methodology): “In the GRADE framework for pairwise meta-analysis, indirectness refers to the relevance of the included studies to the research question [39].”
• Multimorbidity (2022, methodology): “Chan School of Public Health (BLSCHP-1902), Bloomberg Philanthropies (via University of North Carolina at Chapel Hill School of Public Health), FONDECYT via CIENCIACTIVA/CONCYTEC, British Council, British Embassy and the NewtonPaulet Fund (223-2018, 224-2018), DFID/ MRC/Wellcome Global Health Trials”