The use of mathematical modelling studies for evidence synthesis and guideline development: a glossary.

Porgo, Teegwendé V; Norris, Susan L; Salanti, Georgia; Johnson, Leigh F; Simpson, Julie A; Low, Nicola; Egger, Matthias; Althaus, Christian L (2019). The use of mathematical modelling studies for evidence synthesis and guideline development: a glossary. Research Synthesis Methods, 10(1), pp. 125-133. Wiley 10.1002/jrsm.1333

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Mathematical modelling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with using the results of modelling studies, due at least in part to the lack of a common understanding of concepts and terminology between evidence synthesis experts and mathematical modellers. The use of a common terminology for modelling studies across different clinical and epidemiological research fields that span infectious and non-communicable diseases will help systematic reviewers and guideline developers with the understanding, characterisation, comparison and use of mathematical modelling studies. This glossary explains key terms used in mathematical modelling studies that are particularly salient to evidence synthesis and knowledge translation in clinical medicine and public health.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine

UniBE Contributor:

Salanti, Georgia; Low, Nicola; Egger, Matthias and Althaus, Christian


600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services








Tanya Karrer

Date Deposited:

18 Dec 2018 09:47

Last Modified:

20 Mar 2019 01:31

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

Mathematical modelling studies evidence synthesis glossary guidelines knowledge translation




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