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 *

129 related articles for article (PubMed ID: 24793819)

  • 1. The sensitivity of three methods to nonnormality and unequal variances in interval estimation of effect sizes.
    Chen LT; Peng CY
    Behav Res Methods; 2015 Mar; 47(1):107-26. PubMed ID: 24793819
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Confidence intervals and sample size calculations for the standardized mean difference effect size between two normal populations under heteroscedasticity.
    Shieh G
    Behav Res Methods; 2013 Dec; 45(4):955-67. PubMed ID: 23468180
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Constructing Confidence Intervals for Effect Size Measures of an Indirect Effect.
    Lee S; Lei MK; Brody GH
    Multivariate Behav Res; 2015; 50(6):600-13. PubMed ID: 26717121
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An alternative to Cohen's standardized mean difference effect size: a robust parameter and confidence interval in the two independent groups case.
    Algina J; Keselman HJ; Penfield RD
    Psychol Methods; 2005 Sep; 10(3):317-28. PubMed ID: 16221031
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Approximate sample size formulas for the two-sample trimmed mean test with unequal variances.
    Luh WM; Guo JH
    Br J Math Stat Psychol; 2007 May; 60(Pt 1):137-46. PubMed ID: 17535584
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of covariance with pre-treatment measurements in randomized trials: comparison of equal and unequal slopes.
    Funatogawa I; Funatogawa T
    Biom J; 2011 Sep; 53(5):810-21. PubMed ID: 21887795
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Expected and empirical coverages of different methods for generating noncentral t confidence intervals for a standardized mean difference.
    Fitts DA
    Behav Res Methods; 2021 Dec; 53(6):2412-2429. PubMed ID: 33846965
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A mixture-model approach for parallel testing for unequal variances.
    Bar HY; Booth JG; Wells MT
    Stat Appl Genet Mol Biol; 2012 Jan; 11(1):Article 8. PubMed ID: 22499680
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes.
    Keselman HJ; Algina J; Lix LM; Wilcox RR; Deering KN
    Psychol Methods; 2008 Jun; 13(2):110-29. PubMed ID: 18557681
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of methods for constructing confidence intervals of standardized indirect effects.
    Cheung MW
    Behav Res Methods; 2009 May; 41(2):425-38. PubMed ID: 19363183
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A bootstrap test for comparing two variances: simulation of size and power in small samples.
    Sun J; Chernick MR; LaBudde RA
    J Biopharm Stat; 2011 Nov; 21(6):1079-93. PubMed ID: 22023677
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal sample sizes for precise interval estimation of Welch's procedure under various allocation and cost considerations.
    Shieh G; Jan SL
    Behav Res Methods; 2012 Mar; 44(1):202-12. PubMed ID: 21805061
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of finite sample size on feature selection and classification: a simulation study.
    Way TW; Sahiner B; Hadjiiski LM; Chan HP
    Med Phys; 2010 Feb; 37(2):907-20. PubMed ID: 20229900
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Confidence intervals and sample size calculations for the weighted eta-squared effect sizes in one-way heteroscedastic ANOVA.
    Shieh G
    Behav Res Methods; 2013 Mar; 45(1):25-37. PubMed ID: 22806705
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Confidence intervals for correlations when data are not normal.
    Bishara AJ; Hittner JB
    Behav Res Methods; 2017 Feb; 49(1):294-309. PubMed ID: 26822671
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size.
    Feng D; Cortese G; Baumgartner R
    Stat Methods Med Res; 2017 Dec; 26(6):2603-2621. PubMed ID: 26323286
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Longitudinal analysis of pre- and post-treatment measurements with equal baseline assumptions in randomized trials.
    Funatogawa I; Funatogawa T
    Biom J; 2020 Mar; 62(2):350-360. PubMed ID: 31394012
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A two-step semiparametric method to accommodate sampling weights in multiple imputation.
    Zhou H; Elliott MR; Raghunathan TE
    Biometrics; 2016 Mar; 72(1):242-52. PubMed ID: 26393409
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effect size measures in a two-independent-samples case with nonnormal and nonhomogeneous data.
    Li JC
    Behav Res Methods; 2016 Dec; 48(4):1560-1574. PubMed ID: 26487051
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Confidence intervals for standardized linear contrasts of means.
    Bonett DG
    Psychol Methods; 2008 Jun; 13(2):99-109. PubMed ID: 18557680
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.