BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 27917493)

  • 1. 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]  

  • 2. 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]  

  • 3. Bartlett-type corrections and bootstrap adjustments of likelihood-based inference methods for network meta-analysis.
    Noma H; Nagashima K; Maruo K; Gosho M; Furukawa TA
    Stat Med; 2018 Mar; 37(7):1178-1190. PubMed ID: 29250816
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Combining randomized and non-randomized evidence in network meta-analysis.
    Efthimiou O; Mavridis D; Debray TP; Samara M; Belger M; Siontis GC; Leucht S; Salanti G;
    Stat Med; 2017 Apr; 36(8):1210-1226. PubMed ID: 28083901
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis.
    Cipriani A; Zhou X; Del Giovane C; Hetrick SE; Qin B; Whittington C; Coghill D; Zhang Y; Hazell P; Leucht S; Cuijpers P; Pu J; Cohen D; Ravindran AV; Liu Y; Michael KD; Yang L; Liu L; Xie P
    Lancet; 2016 Aug; 388(10047):881-90. PubMed ID: 27289172
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis.
    van Valkenhoef G; Dias S; Ades AE; Welton NJ
    Res Synth Methods; 2016 Mar; 7(1):80-93. PubMed ID: 26461181
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis.
    Zhao H; Hodges JS; Ma H; Jiang Q; Carlin BP
    Stat Med; 2016 Sep; 35(20):3524-36. PubMed ID: 27037506
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GetReal in network meta-analysis: a review of the methodology.
    Efthimiou O; Debray TP; van Valkenhoef G; Trelle S; Panayidou K; Moons KG; Reitsma JB; Shang A; Salanti G;
    Res Synth Methods; 2016 Sep; 7(3):236-63. PubMed ID: 26754852
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Visualizing the evolution of evidence: Cumulative network meta-analyses of new generation antidepressants in the last 40 years.
    Luo Y; Chaimani A; Furukawa TA; Kataoka Y; Ogawa Y; Cipriani A; Salanti G
    Res Synth Methods; 2021 Jan; 12(1):74-85. PubMed ID: 32352639
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Borrowing of strength from indirect evidence in 40 network meta-analyses.
    Lin L; Xing A; Kofler MJ; Murad MH
    J Clin Epidemiol; 2019 Feb; 106():41-49. PubMed ID: 30342086
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies.
    Higgins JP; Jackson D; Barrett JK; Lu G; Ades AE; White IR
    Res Synth Methods; 2012 Jun; 3(2):98-110. PubMed ID: 26062084
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantifying and presenting overall evidence in network meta-analysis.
    Lin L
    Stat Med; 2018 Dec; 37(28):4114-4125. PubMed ID: 30019428
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Testing moderation in network meta-analysis with individual participant data.
    Dagne GA; Brown CH; Howe G; Kellam SG; Liu L
    Stat Med; 2016 Jul; 35(15):2485-502. PubMed ID: 26841367
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Evaluating network meta-analysis and inconsistency using arm-parameterized model in structural equation modeling.
    Shih MC; Tu YK
    Res Synth Methods; 2019 Jun; 10(2):240-254. PubMed ID: 30834677
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Indirect Comparisons and Network Meta-Analyses.
    Kiefer C; Sturtz S; Bender R
    Dtsch Arztebl Int; 2015 Nov; 112(47):803-8. PubMed ID: 26634940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Paule-Mandel estimators for network meta-analysis with random inconsistency effects.
    Jackson D; Veroniki AA; Law M; Tricco AC; Baker R
    Res Synth Methods; 2017 Dec; 8(4):416-434. PubMed ID: 28585257
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.