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| Society for Research Synthesis Methodology | |
|---|---|
| Name | Society for Research Synthesis Methodology |
| Formation | 2005 |
| Type | Professional association |
| Location | United States |
| Fields | Research synthesis, meta-analysis, systematic review |
Society for Research Synthesis Methodology The Society for Research Synthesis Methodology is an international professional association concentrating on the development and dissemination of methods for combining evidence across studies. The Society connects methodologists, statisticians, epidemiologists, psychologists, and policy researchers from institutions such as Harvard University, Stanford University, University of Oxford, University of Cambridge, and University of California, Berkeley to advance standards used by agencies like National Institutes of Health, World Health Organization, Centers for Disease Control and Prevention, European Commission, and Australian Research Council.
The Society emerged from methodological discussions among researchers affiliated with Cochrane Collaboration, Campbell Collaboration, Institute of Education Sciences, RAND Corporation, and Brookings Institution who sought standardized approaches after influential reports from U.S. Preventive Services Task Force, Agency for Healthcare Research and Quality, Food and Drug Administration, and National Academy of Sciences. Early meetings included participants from Yale University, Columbia University, University of Toronto, McGill University, Johns Hopkins University, and Imperial College London, with advisory contributions referencing work by Gene Glass, Adolf Tobe, Jerome Cornfield, and researchers associated with Biometrika and Journal of the American Statistical Association.
The Society’s mission emphasizes methodological rigor, transparency, and reproducibility in evidence synthesis used by bodies such as United Nations, OECD, European Medicines Agency, National Health Service (England), and Public Health England. Objectives include developing statistical models aligned with theory from Fisherian inference, Bayesian inference, and computational frameworks used at Lawrence Berkeley National Laboratory and Los Alamos National Laboratory, promoting standards comparable to those advocated by CONSORT, PRISMA, and GRADE Working Group.
The Society runs training and capacity-building programs engaging educators and analysts from University of Washington, University of Michigan, University of Pennsylvania, Duke University, Princeton University, and Massachusetts Institute of Technology. Programs cover quantitative synthesis methods influenced by work at Bell Laboratories, AT&T, and statistical techniques published in The Lancet, New England Journal of Medicine, Statistical Science, and Biostatistics. Collaborative initiatives include partnerships with Cochrane Training, Campbell Collaboration training, Evidence Aid, and specialist groups at World Bank and Inter-American Development Bank.
Governance is typically overseen by a board with officers drawn from universities and organizations like American Statistical Association, Royal Statistical Society, International Society for Clinical Biostatistics, Society for Clinical Trials, and International Society for Evidence-based Health Care. Membership comprises early-career researchers, senior scholars, and methodologists from University of Chicago, Northwestern University, Brown University, University of Sydney, Monash University, University of Melbourne, and policy centers such as Urban Institute and Commonwealth Fund.
Annual meetings and methodological symposia attract delegates from European Society for Clinical Investigation, American Public Health Association, Society for Epidemiologic Research, International Biometric Society, Association for Psychological Science, and regional hubs in Singapore, Tokyo, Toronto, Berlin, Paris, and London. Workshops often feature invited speakers affiliated with National Library of Medicine, Wellcome Trust, Bill & Melinda Gates Foundation, MacArthur Foundation, John Templeton Foundation, and sessions addressing meta-analytic topics seen in proceedings of International Conference on Machine Learning and NeurIPS.
The Society curates methodological guidance, technical reports, and working papers that are cited alongside guidelines from PRISMA Statement, CONSORT Statement, MOOSE Group, and articles in journals such as Research Synthesis Methods, Systematic Reviews, Journal of Clinical Epidemiology, PLOS Medicine, and Annals of Applied Statistics. Resource repositories draw on datasets and code practices from GitHub, computational tools used at RStudio, and simulation studies pioneered by researchers at Carnegie Mellon University and University of Illinois Urbana-Champaign.
The Society has influenced standards used by National Institutes of Health, Agency for Healthcare Research and Quality, World Health Organization, European Medicines Agency, and major journals including The BMJ and The Lancet through methodology panels, consensus statements, and training that integrate developments from Bayesians, Frequentists, and applied researchers connected to Cochrane Collaboration and Campbell Collaboration. Its members have contributed to advances in network meta-analysis, multilevel meta-regression, publication bias assessment, and reproducible synthesis workflows that interface with computational environments developed at Google Research, Microsoft Research, Amazon Web Services, and academic labs at ETH Zurich and EPFL.
Category:Research synthesis