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 *

308 related articles for article (PubMed ID: 23670939)

  • 1. Avoiding zero between-study variance estimates in random-effects meta-analysis.
    Chung Y; Rabe-Hesketh S; Choi IH
    Stat Med; 2013 Oct; 32(23):4071-89. PubMed ID: 23670939
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Meta-analysis of the Italian studies on short-term effects of air pollution].
    Biggeri A; Bellini P; Terracini B;
    Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical heterogeneity in random-effect meta-analysis: Between-study boundary estimate problem.
    Yoneoka D; Henmi M
    Stat Med; 2019 Sep; 38(21):4131-4145. PubMed ID: 31286537
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian estimation in random effects meta-analysis using a non-informative prior.
    Bodnar O; Link A; Arendacká B; Possolo A; Elster C
    Stat Med; 2017 Jan; 36(2):378-399. PubMed ID: 27790722
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of underlying risk as a source of heterogeneity in meta-analyses: a simulation study of Bayesian and frequentist implementations of three models.
    Dohoo I; Stryhn H; Sanchez J
    Prev Vet Med; 2007 Sep; 81(1-3):38-55. PubMed ID: 17477995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bivariate random-effects meta-analysis and the estimation of between-study correlation.
    Riley RD; Abrams KR; Sutton AJ; Lambert PC; Thompson JR
    BMC Med Res Methodol; 2007 Jan; 7():3. PubMed ID: 17222330
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Univariate and bivariate likelihood-based meta-analysis methods performed comparably when marginal sensitivity and specificity were the targets of inference.
    Dahabreh IJ; Trikalinos TA; Lau J; Schmid CH
    J Clin Epidemiol; 2017 Mar; 83():8-17. PubMed ID: 28063915
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A nondegenerate penalized likelihood estimator for variance parameters in multilevel models.
    Chung Y; Rabe-Hesketh S; Dorie V; Gelman A; Liu J
    Psychometrika; 2013 Oct; 78(4):685-709. PubMed ID: 24092484
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A note on variance estimation in random effects meta-regression.
    Sidik K; Jonkman JN
    J Biopharm Stat; 2005; 15(5):823-38. PubMed ID: 16078388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Simulation-based estimation of mean and standard deviation for meta-analysis via Approximate Bayesian Computation (ABC).
    Kwon D; Reis IM
    BMC Med Res Methodol; 2015 Aug; 15():61. PubMed ID: 26264850
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Random-effects meta-analysis of few studies involving rare events.
    Günhan BK; Röver C; Friede T
    Res Synth Methods; 2020 Jan; 11(1):74-90. PubMed ID: 31348846
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Methods to estimate the between-study variance and its uncertainty in meta-analysis.
    Veroniki AA; Jackson D; Viechtbauer W; Bender R; Bowden J; Knapp G; Kuss O; Higgins JP; Langan D; Salanti G
    Res Synth Methods; 2016 Mar; 7(1):55-79. PubMed ID: 26332144
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data.
    Stijnen T; Hamza TH; Ozdemir P
    Stat Med; 2010 Dec; 29(29):3046-67. PubMed ID: 20827667
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian methods for the analysis of small sample multilevel data with a complex variance structure.
    Baldwin SA; Fellingham GW
    Psychol Methods; 2013 Jun; 18(2):151-64. PubMed ID: 23148476
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A generalized weighting regression-derived meta-analysis estimator robust to small-study effects and heterogeneity.
    Moreno SG; Sutton AJ; Thompson JR; Ades AE; Abrams KR; Cooper NJ
    Stat Med; 2012 Jun; 31(14):1407-17. PubMed ID: 22351645
    [TBL] [Abstract][Full Text] [Related]  

  • 16. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS.
    Lambert PC; Sutton AJ; Burton PR; Abrams KR; Jones DR
    Stat Med; 2005 Aug; 24(15):2401-28. PubMed ID: 16015676
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study.
    Blázquez-Rincón D; Sánchez-Meca J; Botella J; Suero M
    BMC Med Res Methodol; 2023 Jan; 23(1):19. PubMed ID: 36650428
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multilevel modeling of single-case data: A comparison of maximum likelihood and Bayesian estimation.
    Moeyaert M; Rindskopf D; Onghena P; Van den Noortgate W
    Psychol Methods; 2017 Dec; 22(4):760-778. PubMed ID: 28358542
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Implementing informative priors for heterogeneity in meta-analysis using meta-regression and pseudo data.
    Rhodes KM; Turner RM; White IR; Jackson D; Spiegelhalter DJ; Higgins JP
    Stat Med; 2016 Dec; 35(29):5495-5511. PubMed ID: 27577523
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Empirical Bayes estimation of random effects parameters in mixed effects logistic regression models.
    Ten Have TR; Localio AR
    Biometrics; 1999 Dec; 55(4):1022-9. PubMed ID: 11315043
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.