F
Fujian Song
Researcher at University of East Anglia
Publications - 204
Citations - 20421
Fujian Song is an academic researcher from University of East Anglia. The author has contributed to research in topics: Systematic review & Meta-analysis. The author has an hindex of 67, co-authored 196 publications receiving 18183 citations. Previous affiliations of Fujian Song include University of York & University of Leeds.
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Journal ArticleDOI
Evaluating non-randomised intervention studies.
Jonathan J Deeks,Jacqueline Dinnes,Roberto D'Amico,Amanda Sowden,C Sakarovitch,Fujian Song,Mark Petticrew,Douglas G. Altman +7 more
TL;DR: The inability of case-mix adjustment methods to compensate for selection bias and the inability to identify non- randomised studies that are free of selection bias indicate that non-randomised studies should only be undertaken when RCTs are infeasible or unethical.
Journal ArticleDOI
Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses
TL;DR: Results of adjusted indirect comparison usually, but not always, agree with those of head to head randomised trials The validity ofadjusted indirect comparisons depends on the internal validity and similarity of the trials involved.
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Dissemination and publication of research findings: an updated review of related biases.
Fujian Song,S Parekh,Lee Hooper,Yoon K. Loke,Jonathan J. Ryder,Alex J. Sutton,Caroline B. Hing,Chun Shing Kwok,C Pang,Ian Harvey +9 more
TL;DR: There was convincing evidence that outcome reporting bias exists and has an impact on the pooled summary in systematic reviews, and empirical evidence suggests that published studies tended to report a greater treatment effect than those from the grey literature.
Journal ArticleDOI
Indirect comparisons of competing interventions.
Anne-Marie Glenny,Douglas G. Altman,Fujian Song,C Sakarovitch,Jonathan J Deeks,Roberto D'Amico,Mike Bradburn,Alison Eastwood +7 more
TL;DR: There is a need to evaluate methods for the analysis of indirect comparisons for continuous data and for empirical research into how different methods of indirect comparison perform in cases where there is a large treatment effect.
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Increasing value and reducing waste: addressing inaccessible research.
An-Wen Chan,Fujian Song,Andrew J. Vickers,Tom Jefferson,Kay Dickersin,Peter C Gøtzsche,Harlan M. Krumholz,Harlan M. Krumholz,Davina Ghersi,H. Bart van der Worp +9 more
TL;DR: Three main actions are warranted: academic institutions and funders should reward investigators who fully disseminate their research protocols, reports, and participant-level datasets, and standards for the content of protocols and full study reports should be rigorously developed and adopted for all types of health research.