These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 29882392)

  • 1. Multivariate network meta-analysis to mitigate the effects of outcome reporting bias.
    Hwang H; DeSantis SM
    Stat Med; 2018 Sep; 37(22):3254-3266. PubMed ID: 29882392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multivariate meta-analysis helps examine the impact of outcome reporting bias in Cochrane rheumatoid arthritis reviews.
    Frosi G; Riley RD; Williamson PR; Kirkham JJ
    J Clin Epidemiol; 2015 May; 68(5):542-50. PubMed ID: 25537265
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A multivariate meta-analysis approach for reducing the impact of outcome reporting bias in systematic reviews.
    Kirkham JJ; Riley RD; Williamson PR
    Stat Med; 2012 Sep; 31(20):2179-95. PubMed ID: 22532016
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis.
    Spineli LM
    BMC Med Res Methodol; 2019 Apr; 19(1):86. PubMed ID: 31018836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian mixed treatment comparisons meta-analysis for correlated outcomes subject to reporting bias.
    Liu Y; DeSantis SM; Chen Y
    J R Stat Soc Ser C Appl Stat; 2018 Jan; 67(1):127-144. PubMed ID: 29540936
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of reporting bias in network meta-analysis of antidepressant placebo-controlled trials.
    Trinquart L; Abbé A; Ravaud P
    PLoS One; 2012; 7(4):e35219. PubMed ID: 22536359
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network meta-analysis of randomised trials of pharmacological, psychotherapeutic, exercise and collaborative care interventions for depressive symptoms in patients with coronary artery disease: hybrid systematic review of systematic reviews protocol.
    Doyle F; Freedland K; Carney R; de Jonge P; Dickens C; Pedersen S; Sorensen J; Dempster M
    Syst Rev; 2019 Mar; 8(1):71. PubMed ID: 30878039
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adjustment for reporting bias in network meta-analysis of antidepressant trials.
    Trinquart L; Chatellier G; Ravaud P
    BMC Med Res Methodol; 2012 Sep; 12():150. PubMed ID: 23016799
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis.
    Turner NL; Dias S; Ades AE; Welton NJ
    Stat Med; 2015 May; 34(12):2062-80. PubMed ID: 25809313
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Problematic meta-analyses: Bayesian and frequentist perspectives on combining randomized controlled trials and non-randomized studies.
    Moran JL; Linden A
    BMC Med Res Methodol; 2024 Apr; 24(1):99. PubMed ID: 38678213
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis.
    Chiocchia V; Nikolakopoulou A; Higgins JPT; Page MJ; Papakonstantinou T; Cipriani A; Furukawa TA; Siontis GCM; Egger M; Salanti G
    BMC Med; 2021 Nov; 19(1):304. PubMed ID: 34809639
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparison of Bayesian and frequentist methods in random-effects network meta-analysis of binary data.
    Seide SE; Jensen K; Kieser M
    Res Synth Methods; 2020 May; 11(3):363-378. PubMed ID: 31955519
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis.
    Mavridis D; Sutton A; Cipriani A; Salanti G
    Stat Med; 2013 Jan; 32(1):51-66. PubMed ID: 22806991
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modeling missing binary outcome data while preserving transitivity assumption yielded more credible network meta-analysis results.
    Spineli LM
    J Clin Epidemiol; 2019 Jan; 105():19-26. PubMed ID: 30223064
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using structural equation modeling for network meta-analysis.
    Tu YK; Wu YC
    BMC Med Res Methodol; 2017 Jul; 17(1):104. PubMed ID: 28709406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness.
    Zhang J; Chu H; Hong H; Virnig BA; Carlin BP
    Stat Methods Med Res; 2017 Oct; 26(5):2227-2243. PubMed ID: 26220535
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Degree irregularity and rank probability bias in network meta-analysis.
    Davies AL; Galla T
    Res Synth Methods; 2021 May; 12(3):316-332. PubMed ID: 32935913
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.