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 *

128 related articles for article (PubMed ID: 36412105)

  • 1. Standard error estimation in meta-analysis of studies reporting medians.
    McGrath S; Katzenschlager S; Zimmer AJ; Seitel A; Steele R; Benedetti A
    Stat Methods Med Res; 2023 Feb; 32(2):373-388. PubMed ID: 36412105
    [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. One-sample aggregate data meta-analysis of medians.
    McGrath S; Zhao X; Qin ZZ; Steele R; Benedetti A
    Stat Med; 2019 Mar; 38(6):969-984. PubMed ID: 30460713
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-analysis of the difference of medians.
    McGrath S; Sohn H; Steele R; Benedetti A
    Biom J; 2020 Jan; 62(1):69-98. PubMed ID: 31553488
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis.
    McGrath S; Zhao X; Steele R; Thombs BD; Benedetti A;
    Stat Methods Med Res; 2020 Sep; 29(9):2520-2537. PubMed ID: 32292115
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range.
    Wan X; Wang W; Liu J; Tong T
    BMC Med Res Methodol; 2014 Dec; 14():135. PubMed ID: 25524443
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Meta-analysis without study-specific variance information: Heterogeneity case.
    Sangnawakij P; Böhning D; Niwitpong SA; Adams S; Stanton M; Holling H
    Stat Methods Med Res; 2019 Jan; 28(1):196-210. PubMed ID: 28681700
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Meta-analysis with missing study-level sample variance data.
    Chowdhry AK; Dworkin RH; McDermott MP
    Stat Med; 2016 Jul; 35(17):3021-32. PubMed ID: 26888093
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis.
    Cai S; Zhou J; Pan J
    Stat Methods Med Res; 2021 Dec; 30(12):2701-2719. PubMed ID: 34668458
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Response to letter to the editor from Dr Rahman Shiri: The challenging topic of suicide across occupational groups.
    Niedhammer I; Milner A; Witt K; Klingelschmidt J; Khireddine-Medouni I; Alexopoulos EC; Toivanen S; Chastang JF; LaMontagne AD
    Scand J Work Environ Health; 2018 Jan; 44(1):108-110. PubMed ID: 29218357
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ABCMETAapp: R shiny application for simulation-based estimation of mean and standard deviation for meta-analysis via approximate Bayesian computation.
    Kwon D; Reddy RRS; Reis IM
    Res Synth Methods; 2021 Nov; 12(6):842-848. PubMed ID: 34148300
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Correction for bias in meta-analysis of little-replicated studies.
    Doncaster CP; Spake R
    Methods Ecol Evol; 2018 Mar; 9(3):634-644. PubMed ID: 29938012
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation.
    Partlett C; Riley RD
    Stat Med; 2017 Jan; 36(2):301-317. PubMed ID: 27714841
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Examining how meta-analytic methods perform in the presence of bias: A simulation study.
    Bramley P; López-López JA; Higgins JPT
    Res Synth Methods; 2021 Nov; 12(6):816-830. PubMed ID: 34327842
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 7.