GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making

Author:

Brozek Jan L.,Canelo-Aybar Carlos,Akl Elie A.,Bowen James M.,Bucher JohnORCID,Chiu Weihsueh A.,Cronin Mark,Djulbegovic Benjamin,Falavigna Maicon,Guyatt Gordon H.,Gordon Ami A.,Hilton Boon Michele,Hutubessy Raymond C.W.,Joore Manuela A.,Katikireddi Vittal,LaKind Judy,Langendam Miranda,Manja Veena,Magnuson Kristen,Mathioudakis Alexander G.,Meerpohl Joerg,Mertz Dominik,Mezencev Roman,Morgan RebeccaORCID,Morgano Gian Paolo,Mustafa Reem,O'Flaherty Martin,Patlewicz GraceORCID,Riva John J.,Posso Margarita,Rooney Andrew,Schlosser Paul M.,Schwartz Lisa,Shemilt Ian,Tarride Jean-Eric,Thayer Kristina A.,Tsaioun Katya,Vale LukeORCID,Wambaugh John,Wignall Jessica,Williams Ashley,Xie Feng,Zhang Yuan,Schünemann Holger J.

Funder

National Institute of Environmental Health Sciences

National Institutes of Health

Publisher

Elsevier BV

Subject

Epidemiology

Reference65 articles.

1. The role of quantitative models in science;Oreskes,2003

2. Models in science;Frigg,2017

3. What is "quality of evidence" and why is it important to clinicians?;Guyatt;BMJ,2008

4. Evaluation (not validation) of quantitative models;Oreskes;Environ Health Perspect,1998

5. Model parameter estimation and uncertainty: a report of the ISPOR-SMDM modeling good research practices task force--6;Briggs;Value Health,2012

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