BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

484 related articles for article (PubMed ID: 36650428)

  • 1. 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]  

  • 2. 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]  

  • 3. Estimation of an overall standardized mean difference in random-effects meta-analysis if the distribution of random effects departs from normal.
    Rubio-Aparicio M; López-López JA; Sánchez-Meca J; Marín-Martínez F; Viechtbauer W; Van den Noortgate W
    Res Synth Methods; 2018 Sep; 9(3):489-503. PubMed ID: 29989344
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of heterogeneity variance estimators in combining results of studies.
    Sidik K; Jonkman JN
    Stat Med; 2007 Apr; 26(9):1964-81. PubMed ID: 16955539
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [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]  

  • 6. A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses.
    Langan D; Higgins JPT; Jackson D; Bowden J; Veroniki AA; Kontopantelis E; Viechtbauer W; Simmonds M
    Res Synth Methods; 2019 Mar; 10(1):83-98. PubMed ID: 30067315
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of heterogeneity and heterogeneity interval estimators in random-effects meta-analysis of the standardized mean difference in education and psychology.
    Boedeker P; Henson RK
    Psychol Methods; 2020 Jun; 25(3):346-364. PubMed ID: 31599614
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bias and precision of some classical ANOVA effect sizes when assumptions are violated.
    Troncoso Skidmore S; Thompson B
    Behav Res Methods; 2013 Jun; 45(2):536-46. PubMed ID: 23055163
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using Monte Carlo experiments to select meta-analytic estimators.
    Hong S; Reed WR
    Res Synth Methods; 2021 Mar; 12(2):192-215. PubMed ID: 33150663
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bias and precision of methods for estimating the difference in restricted mean survival time from an individual patient data meta-analysis.
    Lueza B; Rotolo F; Bonastre J; Pignon JP; Michiels S
    BMC Med Res Methodol; 2016 Mar; 16():37. PubMed ID: 27025706
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Combining estimators in interlaboratory studies and meta-analyses.
    Huang H
    Res Synth Methods; 2023 May; 14(3):526-543. PubMed ID: 36916486
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of 20 heterogeneity variance estimators in statistical synthesis of results from studies: a simulation study.
    Petropoulou M; Mavridis D
    Stat Med; 2017 Nov; 36(27):4266-4280. PubMed ID: 28815652
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Assessing meta-regression methods for examining moderator relationships with dependent effect sizes: A Monte Carlo simulation.
    López-López JA; Van den Noortgate W; Tanner-Smith EE; Wilson SJ; Lipsey MW
    Res Synth Methods; 2017 Dec; 8(4):435-450. PubMed ID: 28556477
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A random effects meta-analysis model with Box-Cox transformation.
    Yamaguchi Y; Maruo K; Partlett C; Riley RD
    BMC Med Res Methodol; 2017 Jul; 17(1):109. PubMed ID: 28724350
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies.
    Seide SE; Röver C; Friede T
    BMC Med Res Methodol; 2019 Jan; 19(1):16. PubMed ID: 30634920
    [TBL] [Abstract][Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

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

    [Next]    [New Search]
    of 25.