CINeMA: An approach for assessing confidence in the results of a network meta-analysis

Abstract

Via 3 examples, we show that CINeMA improves transparency and avoids the selective use of evidence when forming judgments, thus limiting subjectivity in the process. CINeMA is easy to apply even in large and complicated networks.

Keywords

Meta-analysisMovie theaterCredibilityComputer scienceTransparency (behavior)Confidence intervalPublication biasProcess (computing)PsychologyData scienceStatisticsEpistemologyMedicineMathematicsComputer securityHistory

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Publication Info

Year: 2020
Type: article
Volume: 17
Issue: 4
Pages: e1003082-e1003082
Citations: 1400
Access: Closed

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APA Style

                            
                                
                                    Adriani Nikolakopoulou, 
                                
                                    Julian P. T. Higgins, 
                                
                                    Theodoros Papakonstantinou
                                
                                et al.
                            
                            (2020). 
                            CINeMA: An approach for assessing confidence in the results of a network meta-analysis. 
                            PLoS Medicine
                            , 17
                            (4)
                            , e1003082-e1003082.
                            https://doi.org/10.1371/journal.pmed.1003082
                        

Identifiers

DOI: 10.1371/journal.pmed.1003082