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 *

189 related articles for article (PubMed ID: 17195960)

  • 1. Covariate heterogeneity in meta-analysis: criteria for deciding between meta-regression and individual patient data.
    Simmonds MC; Higgins JP
    Stat Med; 2007 Jul; 26(15):2982-99. PubMed ID: 17195960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information.
    Hua H; Burke DL; Crowther MJ; Ensor J; Tudur Smith C; Riley RD
    Stat Med; 2017 Feb; 36(5):772-789. PubMed ID: 27910122
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A random-effects regression model for meta-analysis.
    Berkey CS; Hoaglin DC; Mosteller F; Colditz GA
    Stat Med; 1995 Feb; 14(4):395-411. PubMed ID: 7746979
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-analysis of a continuous outcome combining individual patient data and aggregate data: a method based on simulated individual patient data.
    Yamaguchi Y; Sakamoto W; Goto M; Staessen JA; Wang J; Gueyffier F; Riley RD
    Res Synth Methods; 2014 Dec; 5(4):322-51. PubMed ID: 26052956
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using aggregate data to estimate the standard error of a treatment-covariate interaction in an individual patient data meta-analysis.
    Kovalchik SA; Cumberland WG
    Biom J; 2012 May; 54(3):370-84. PubMed ID: 22685003
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of multiple covariates in assessing treatment-effect modifiers: A methodological review of individual participant data meta-analyses.
    Godolphin PJ; Marlin N; Cornett C; Fisher DJ; Tierney JF; White IR; Rogozińska E
    Res Synth Methods; 2024 Jan; 15(1):107-116. PubMed ID: 37771175
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: Statistical recommendations for conduct and planning.
    Riley RD; Debray TPA; Fisher D; Hattle M; Marlin N; Hoogland J; Gueyffier F; Staessen JA; Wang J; Moons KGM; Reitsma JB; Ensor J
    Stat Med; 2020 Jul; 39(15):2115-2137. PubMed ID: 32350891
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Explaining heterogeneity in meta-analysis: a comparison of methods.
    Thompson SG; Sharp SJ
    Stat Med; 1999 Oct; 18(20):2693-708. PubMed ID: 10521860
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical approaches to identify subgroups in meta-analysis of individual participant data: a simulation study.
    Belias M; Rovers MM; Reitsma JB; Debray TPA; IntHout J
    BMC Med Res Methodol; 2019 Sep; 19(1):183. PubMed ID: 31477023
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved tests for a random effects meta-regression with a single covariate.
    Knapp G; Hartung J
    Stat Med; 2003 Sep; 22(17):2693-710. PubMed ID: 12939780
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Meta-analysis of continuous outcomes combining individual patient data and aggregate data.
    Riley RD; Lambert PC; Staessen JA; Wang J; Gueyffier F; Thijs L; Boutitie F
    Stat Med; 2008 May; 27(11):1870-93. PubMed ID: 18069721
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits.
    Li S; Mukherjee B; Taylor JM; Rice KM; Wen X; Rice JD; Stringham HM; Boehnke M
    Genet Epidemiol; 2014 Jul; 38(5):416-29. PubMed ID: 24801060
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis.
    Seo M; White IR; Furukawa TA; Imai H; Valgimigli M; Egger M; Zwahlen M; Efthimiou O
    Stat Med; 2021 Mar; 40(6):1553-1573. PubMed ID: 33368415
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Simulation-based power calculations for planning a two-stage individual participant data meta-analysis.
    Ensor J; Burke DL; Snell KIE; Hemming K; Riley RD
    BMC Med Res Methodol; 2018 May; 18(1):41. PubMed ID: 29776399
    [TBL] [Abstract][Full Text] [Related]  

  • 16. IPDmada: An R Shiny tool for analyzing and visualizing individual patient data meta-analyses of diagnostic test accuracy.
    Wang J; Keusters WR; Wen L; Leeflang MMG
    Res Synth Methods; 2021 Jan; 12(1):45-54. PubMed ID: 32808437
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Aggregate-data estimation of an individual patient data linear random effects meta-analysis with a patient covariate-treatment interaction term.
    Kovalchik SA
    Biostatistics; 2013 Apr; 14(2):273-83. PubMed ID: 23001065
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Meta-analysis of individual patient data from randomized trials: a review of methods used in practice.
    Simmonds MC; Higgins JP; Stewart LA; Tierney JF; Clarke MJ; Thompson SG
    Clin Trials; 2005; 2(3):209-17. PubMed ID: 16279144
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison of one-stage vs two-stage individual patient data meta-analysis methods: A simulation study.
    Kontopantelis E
    Res Synth Methods; 2018 Sep; 9(3):417-430. PubMed ID: 29786975
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An overview of methods and empirical comparison of aggregate data and individual patient data results for investigating heterogeneity in meta-analysis of time-to-event outcomes.
    Smith CT; Williamson PR; Marson AG
    J Eval Clin Pract; 2005 Oct; 11(5):468-78. PubMed ID: 16164588
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.