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 *

191 related articles for article (PubMed ID: 30367548)

  • 1. Assessing the consistency assumptions underlying network meta-regression using aggregate data.
    Donegan S; Dias S; Welton NJ
    Res Synth Methods; 2019 Jun; 10(2):207-224. PubMed ID: 30367548
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Network meta-analysis including treatment by covariate interactions: Consistency can vary across covariate values.
    Donegan S; Welton NJ; Tudur Smith C; D'Alessandro U; Dias S
    Res Synth Methods; 2017 Dec; 8(4):485-495. PubMed ID: 28732142
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariates.
    Donegan S; Williamson P; D'Alessandro U; Tudur Smith C
    Stat Med; 2012 Dec; 31(29):3840-57. PubMed ID: 22786621
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing key assumptions of network meta-analysis: a review of methods.
    Donegan S; Williamson P; D'Alessandro U; Tudur Smith C
    Res Synth Methods; 2013 Dec; 4(4):291-323. PubMed ID: 26053945
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis.
    Freeman SC; Fisher D; Tierney JF; Carpenter JR
    Res Synth Methods; 2018 Sep; 9(3):393-407. PubMed ID: 29737630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graphs of study contributions and covariate distributions for network meta-regression.
    Donegan S; Dias S; Tudur-Smith C; Marinho V; Welton NJ
    Res Synth Methods; 2018 Jun; 9(2):243-260. PubMed ID: 29377598
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Validating the Assumptions of Population Adjustment: Application of Multilevel Network Meta-regression to a Network of Treatments for Plaque Psoriasis.
    Phillippo DM; Dias S; Ades AE; Belger M; Brnabic A; Saure D; Schymura Y; Welton NJ
    Med Decis Making; 2023 Jan; 43(1):53-67. PubMed ID: 35997006
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artemether for severe malaria: a meta-analysis of randomized clinical trials.
    Pittler MH; Ernst E
    Clin Infect Dis; 1999 Mar; 28(3):597-601. PubMed ID: 10194084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of anti-malarial drugs efficacy in the treatment of uncomplicated malaria in African children and adults using network meta-analysis.
    Whegang Youdom S; Tahar R; Basco LK
    Malar J; 2017 Aug; 16(1):311. PubMed ID: 28774303
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artesunate versus quinine for treating severe malaria.
    Sinclair D; Donegan S; Lalloo DG
    Cochrane Database Syst Rev; 2011 Mar; (3):CD005967. PubMed ID: 21412892
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artesunate versus quinine for treating severe malaria.
    Jones KL; Donegan S; Lalloo DG
    Cochrane Database Syst Rev; 2007 Oct; (4):CD005967. PubMed ID: 17943870
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combining individual patient data and aggregate data in mixed treatment comparison meta-analysis: Individual patient data may be beneficial if only for a subset of trials.
    Donegan S; Williamson P; D'Alessandro U; Garner P; Smith CT
    Stat Med; 2013 Mar; 32(6):914-30. PubMed ID: 22987606
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Safety and tolerability of artesunate-amodiaquine, artemether-lumefantrine and quinine plus clindamycin in the treatment of uncomplicated Plasmodium falciparum malaria in Kinshasa, the Democratic Republic of the Congo.
    Lula Ntamba Y; Muhindo Mavoko H; Kalabuanga M; Fungula B; Ntamabyaliro Nsengi PM; Tona Lutete G; Inocencio da Luz R; Van Geertruyden JP; Lutumba P
    PLoS One; 2019; 14(9):e0222379. PubMed ID: 31527899
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Effect of Artesunate-Amodiaquine on Mortality Related to Ebola Virus Disease.
    Gignoux E; Azman AS; de Smet M; Azuma P; Massaquoi M; Job D; Tiffany A; Petrucci R; Sterk E; Potet J; Suzuki M; Kurth A; Cannas A; Bocquin A; Strecker T; Logue C; Pottage T; Yue C; Cabrol JC; Serafini M; Ciglenecki I
    N Engl J Med; 2016 Jan; 374(1):23-32. PubMed ID: 26735991
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A comparative clinical trial of artemether and quinine in children with severe malaria.
    Huda SN; Shahab T; Ali SM; Afzal K; Khan HM
    Indian Pediatr; 2003 Oct; 40(10):939-45. PubMed ID: 14581730
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A new approach to evaluating loop inconsistency in network meta-analysis.
    Turner RM; Band T; Morris TP; Fisher DJ; Higgins JPT; Carpenter JR; White IR
    Stat Med; 2023 Nov; 42(27):4917-4930. PubMed ID: 37767752
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.