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 *

107 related articles for article (PubMed ID: 24882910)

  • 1. Asymptotics of Bonferroni for Dependent Normal Test Statistics.
    Proschan MA; Shaw PA
    Stat Probab Lett; 2011 Jul; 81(7):739-748. PubMed ID: 24882910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A less conservative method to adjust for familywise error rate in neuropsychological research: the Holm's sequential Bonferroni procedure.
    Eichstaedt KE; Kovatch K; Maroof DA
    NeuroRehabilitation; 2013; 32(3):693-6. PubMed ID: 23648625
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The fallback procedure for evaluating a single family of hypotheses.
    Wiens BL; Dmitrienko A
    J Biopharm Stat; 2005; 15(6):929-42. PubMed ID: 16279352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adding new experimental arms to randomised clinical trials: Impact on error rates.
    Choodari-Oskooei B; Bratton DJ; Gannon MR; Meade AM; Sydes MR; Parmar MK
    Clin Trials; 2020 Jun; 17(3):273-284. PubMed ID: 32063029
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sample size determination with familywise control of both type I and type II errors in clinical trials.
    Wang B; Ting N
    J Biopharm Stat; 2016; 26(5):951-65. PubMed ID: 26881972
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests.
    Kang G; Childers DK; Liu N; Zhang K; Gao G
    BMC Proc; 2009 Dec; 3 Suppl 7(Suppl 7):S38. PubMed ID: 20018029
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using multiple outcomes in intervention studies: improving power while controlling type I errors.
    Bishop DVM
    F1000Res; 2021; 10():991. PubMed ID: 36925625
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Normative comparisons for large neuropsychological test batteries: User-friendly and sensitive solutions to minimize familywise false positives.
    Huizenga HM; Agelink van Rentergem JA; Grasman RP; Muslimovic D; Schmand B
    J Clin Exp Neuropsychol; 2016 Aug; 38(6):611-29. PubMed ID: 27167864
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Weighted multiple hypothesis testing procedures.
    Kang G; Ye K; Liu N; Allison DB; Gao G
    Stat Appl Genet Mol Biol; 2009; 8(1):Article23. PubMed ID: 19409067
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Online control of the familywise error rate.
    Tian J; Ramdas A
    Stat Methods Med Res; 2021 Apr; 30(4):976-993. PubMed ID: 33413033
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Controlling the familywise error rate in functional neuroimaging: a comparative review.
    Nichols T; Hayasaka S
    Stat Methods Med Res; 2003 Oct; 12(5):419-46. PubMed ID: 14599004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Approximate multinormal probabilities applied to correlated multiple endpoints in clinical trials.
    James S
    Stat Med; 1991 Jul; 10(7):1123-35. PubMed ID: 1876800
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies.
    Duggal P; Gillanders EM; Holmes TN; Bailey-Wilson JE
    BMC Genomics; 2008 Oct; 9():516. PubMed ID: 18976480
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Incorporating the sample correlation into the testing of two endpoints in clinical trials.
    Sarkar S; Rom D; McTague J
    J Biopharm Stat; 2021 Jul; 31(4):391-402. PubMed ID: 33909544
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sequential Tests of Multiple Hypotheses Controlling Type I and II Familywise Error Rates.
    Bartroff J; Song J
    J Stat Plan Inference; 2014 Oct; 153():100-114. PubMed ID: 25092948
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Covariate adaptive familywise error rate control for genome-wide association studies.
    Zhou H; Zhang X; Chen J
    Biometrika; 2021 Dec; 108(4):915-931. PubMed ID: 34803516
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An adaptive resampling test for detecting the presence of significant predictors.
    McKeague IW; Qian M
    J Am Stat Assoc; 2015; 110(512):1422-1433. PubMed ID: 27073292
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of false discovery rate procedure to pairwise comparisons of refractive index of glass fragments.
    Pawluk-Kołc M; Zieba-Palus J; Parczewski A
    Forensic Sci Int; 2006 Jun; 160(1):53-8. PubMed ID: 16221535
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validity of the Hochberg procedure revisited for clinical trial applications.
    Huque MF
    Stat Med; 2016 Jan; 35(1):5-20. PubMed ID: 26278421
    [TBL] [Abstract][Full Text] [Related]  

  • 20. What is the proper way to apply the multiple comparison test?
    Lee S; Lee DK
    Korean J Anesthesiol; 2018 Oct; 71(5):353-360. PubMed ID: 30157585
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.