BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 30298671)

  • 1. Optimal sample size planning for the Wilcoxon-Mann-Whitney test.
    Happ M; Bathke AC; Brunner E
    Stat Med; 2019 Feb; 38(3):363-375. PubMed ID: 30298671
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Case for omitting tied observations in the two-sample t-test and the Wilcoxon-Mann-Whitney Test.
    McGee M
    PLoS One; 2018; 13(7):e0200837. PubMed ID: 30040850
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of profile-likelihood-based confidence intervals with other rank-based methods for the two-sample problem in ordered categorical data.
    Funatogawa I; Funatogawa T
    J Biopharm Stat; 2023 May; 33(3):371-385. PubMed ID: 36533908
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal design of the Wilcoxon-Mann-Whitney-test.
    Bürkner PC; Doebler P; Holling H
    Biom J; 2017 Jan; 59(1):25-40. PubMed ID: 27243898
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The nonparametric Behrens-Fisher problem with dependent replicates.
    Roy A; Harrar SW; Konietschke F
    Stat Med; 2019 Nov; 38(25):4939-4962. PubMed ID: 31424122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A U-statistics based approach to sample size planning of two-arm trials with discrete outcome criterion aiming to establish either superiority or noninferiority.
    Wellek S
    Stat Med; 2017 Feb; 36(5):799-812. PubMed ID: 27878839
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Power and sample size calculations for the Wilcoxon-Mann-Whitney test in the presence of death-censored observations.
    Matsouaka RA; Betensky RA
    Stat Med; 2015 Feb; 34(3):406-31. PubMed ID: 25393385
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Size and power estimation for the Wilcoxon-Mann-Whitney test for ordered categorical data.
    Tang Y
    Stat Med; 2011 Dec; 30(29):3461-70. PubMed ID: 22086799
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sample size calculation for the Wilcoxon-Mann-Whitney test adjusting for ties.
    Zhao YD; Rahardja D; Qu Y
    Stat Med; 2008 Feb; 27(3):462-8. PubMed ID: 17487941
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Wilcoxon-Mann-Whitney test under scrutiny.
    Fagerland MW; Sandvik L
    Stat Med; 2009 May; 28(10):1487-97. PubMed ID: 19247980
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Power and sample size estimation for the Wilcoxon rank sum test with application to comparisons of C statistics from alternative prediction models.
    Rosner B; Glynn RJ
    Biometrics; 2009 Mar; 65(1):188-97. PubMed ID: 18510654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Power and sample size evaluation for the Cochran-Mantel-Haenszel mean score (Wilcoxon rank sum) test and the Cochran-Armitage test for trend.
    Lachin JM
    Stat Med; 2011 Nov; 30(25):3057-66. PubMed ID: 22006667
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Confidence intervals of the Mann-Whitney parameter that are compatible with the Wilcoxon-Mann-Whitney test.
    Fay MP; Malinovsky Y
    Stat Med; 2018 Nov; 37(27):3991-4006. PubMed ID: 29984411
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extending the Mann-Whitney-Wilcoxon rank sum test to survey data for comparing mean ranks.
    Lin T; Chen T; Liu J; Tu XM
    Stat Med; 2021 Mar; 40(7):1705-1717. PubMed ID: 33398899
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exemplary data set sample size calculation for Wilcoxon-Mann-Whitney tests.
    Divine G; Kapke A; Havstad S; Joseph CL
    Stat Med; 2010 Jan; 29(1):108-15. PubMed ID: 19890884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Group sequential methods for the Mann-Whitney parameter.
    Nowak CP; Mütze T; Konietschke F
    Stat Methods Med Res; 2022 Oct; 31(10):2004-2020. PubMed ID: 35698787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sample size estimation for the van Elteren test--a stratified Wilcoxon-Mann-Whitney test.
    Zhao YD
    Stat Med; 2006 Aug; 25(15):2675-87. PubMed ID: 16372389
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unadjusted Bivariate Two-Group Comparisons: When Simpler is Better.
    Vetter TR; Mascha EJ
    Anesth Analg; 2018 Jan; 126(1):338-342. PubMed ID: 29189214
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data.
    Vickers AJ
    BMC Med Res Methodol; 2005 Nov; 5():35. PubMed ID: 16269081
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A bootstrap approach is a superior statistical method for the comparison of non-normal data with differing variances.
    Johnston MG; Faulkner C
    New Phytol; 2021 Apr; 230(1):23-26. PubMed ID: 33349922
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.