109 related articles for article (PubMed ID: 25510877)
1. Visualizing inconsistency in network meta-analysis by independent path decomposition.
Krahn U; Binder H; König J
BMC Med Res Methodol; 2014 Dec; 14():131. PubMed ID: 25510877
[TBL] [Abstract][Full Text] [Related]
2. Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons.
König J; Krahn U; Binder H
Stat Med; 2013 Dec; 32(30):5414-29. PubMed ID: 24123165
[TBL] [Abstract][Full Text] [Related]
3. A graphical tool for locating inconsistency in network meta-analyses.
Krahn U; Binder H; König J
BMC Med Res Methodol; 2013 Mar; 13():35. PubMed ID: 23496991
[TBL] [Abstract][Full Text] [Related]
4. Quantifying indirect evidence in network meta-analysis.
Noma H; Tanaka S; Matsui S; Cipriani A; Furukawa TA
Stat Med; 2017 Mar; 36(6):917-927. PubMed ID: 27917493
[TBL] [Abstract][Full Text] [Related]
5. Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2.
Hoaglin DC; Hawkins N; Jansen JP; Scott DA; Itzler R; Cappelleri JC; Boersma C; Thompson D; Larholt KM; Diaz M; Barrett A
Value Health; 2011 Jun; 14(4):429-37. PubMed ID: 21669367
[TBL] [Abstract][Full Text] [Related]
6. Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method?
Freeman SC; Fisher D; White IR; Auperin A; Carpenter JR
Stat Med; 2019 Dec; 38(29):5547-5564. PubMed ID: 31647136
[TBL] [Abstract][Full Text] [Related]
7. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1.
Jansen JP; Fleurence R; Devine B; Itzler R; Barrett A; Hawkins N; Lee K; Boersma C; Annemans L; Cappelleri JC
Value Health; 2011 Jun; 14(4):417-28. PubMed ID: 21669366
[TBL] [Abstract][Full Text] [Related]
8. The Kilim plot: A tool for visualizing network meta-analysis results for multiple outcomes.
Seo M; Furukawa TA; Veroniki AA; Pillinger T; Tomlinson A; Salanti G; Cipriani A; Efthimiou O
Res Synth Methods; 2021 Jan; 12(1):86-95. PubMed ID: 32524754
[TBL] [Abstract][Full Text] [Related]
9. Unsolved issues of mixed treatment comparison meta-analysis: network size and inconsistency.
Sturtz S; Bender R
Res Synth Methods; 2012 Dec; 3(4):300-11. PubMed ID: 26053423
[TBL] [Abstract][Full Text] [Related]
10. Using Generalized Linear Mixed Models to Evaluate Inconsistency within a Network Meta-Analysis.
Tu YK
Value Health; 2015 Dec; 18(8):1120-5. PubMed ID: 26686799
[TBL] [Abstract][Full Text] [Related]
11. A simulation study to compare different estimation approaches for network meta-analysis and corresponding methods to evaluate the consistency assumption.
Kiefer C; Sturtz S; Bender R
BMC Med Res Methodol; 2020 Feb; 20(1):36. PubMed ID: 32093605
[TBL] [Abstract][Full Text] [Related]
12. [Indirect comparison and network meta-analyses--new tools for the assessment of evidence on the relative efficacy of drugs].
Peura P; Asseburg C; Turunen J; Purmonen T; Martikainen J
Duodecim; 2011; 127(9):900-10. PubMed ID: 21648163
[TBL] [Abstract][Full Text] [Related]
13. Assumptions of Mixed Treatment Comparisons in Health Technology Assessments - Challenges and Possible Steps for Practical Application.
Reken S; Sturtz S; Kiefer C; Böhler YB; Wieseler B
PLoS One; 2016; 11(8):e0160712. PubMed ID: 27508415
[TBL] [Abstract][Full Text] [Related]
14. Node-Splitting Generalized Linear Mixed Models for Evaluation of Inconsistency in Network Meta-Analysis.
Yu-Kang T
Value Health; 2016 Dec; 19(8):957-963. PubMed ID: 27987646
[TBL] [Abstract][Full Text] [Related]
15. Graphical exploration of network meta-analysis data: the use of multidimensional scaling.
Chung H; Lumley T
Clin Trials; 2008; 5(4):301-7. PubMed ID: 18697844
[TBL] [Abstract][Full Text] [Related]
16. The rank-heat plot is a novel way to present the results from a network meta-analysis including multiple outcomes.
Veroniki AA; Straus SE; Fyraridis A; Tricco AC
J Clin Epidemiol; 2016 Aug; 76():193-9. PubMed ID: 26939929
[TBL] [Abstract][Full Text] [Related]
17. In network meta-analysis, most of the information comes from indirect evidence: empirical study.
Papakonstantinou T; Nikolakopoulou A; Egger M; Salanti G
J Clin Epidemiol; 2020 Aug; 124():42-49. PubMed ID: 32302680
[TBL] [Abstract][Full Text] [Related]
18. Multicriteria benefit-risk assessment using network meta-analysis.
van Valkenhoef G; Tervonen T; Zhao J; de Brock B; Hillege HL; Postmus D
J Clin Epidemiol; 2012 Apr; 65(4):394-403. PubMed ID: 22197518
[TBL] [Abstract][Full Text] [Related]
19. Linear mixed model approach to network meta-analysis for continuous outcomes in periodontal research.
Tu YK
J Clin Periodontol; 2015 Feb; 42(2):204-12. PubMed ID: 25581572
[TBL] [Abstract][Full Text] [Related]
20. The orchard plot: Cultivating a forest plot for use in ecology, evolution, and beyond.
Nakagawa S; Lagisz M; O'Dea RE; Rutkowska J; Yang Y; Noble DWA; Senior AM
Res Synth Methods; 2021 Jan; 12(1):4-12. PubMed ID: 32445243
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
