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 *

94 related articles for article (PubMed ID: 21888225)

  • 1. Statistical tools for analysing the data obtained from repeated dose toxicity studies with rodents: a comparison of the statistical tools used in Japan with that of used in other countries.
    Kobayashi K; Pillai KS; Guhatakurta S; Cherian KM; Ohnishi M
    J Environ Biol; 2011 Jan; 32(1):11-6. PubMed ID: 21888225
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of statistical tools used in short-term repeated dose administration toxicity studies with rodents.
    Kobayashi K; Pillai KS; Sakuratani Y; Abe T; Kamata E; Hayashi M
    J Toxicol Sci; 2008 Feb; 33(1):97-104. PubMed ID: 18303188
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [A new decision tree method for statistical analysis of quantitative data obtained in toxicity studies on rodents].
    Kobayashi K; Kanamori M; Ohori K; Takeuchi H
    Sangyo Eiseigaku Zasshi; 2000 Jul; 42(4):125-9. PubMed ID: 10998779
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Do we need to examine the quantitative data obtained from toxicity studies for both normality and homogeneity of variance?
    Kobayashi K; Pillai KS; Sakuratani Y; Suzuki M; Jie W
    J Environ Biol; 2008 Jan; 29(1):47-52. PubMed ID: 18831330
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Determination of dose dependence in repeated dose toxicity studies when mid-dose alone is insignificant.
    Kobayashi K; Pillai KS; Michael M; Cherian KM; Araki A; Hirose A
    J Toxicol Sci; 2012; 37(2):255-60. PubMed ID: 22467015
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Choice of method for statistical analysis of quantitative data obtained from toxicological studies--toxicological data].
    Kobayashi K; Ohori K; Kobayashi M; Takeuchi H
    Sangyo Eiseigaku Zasshi; 1997 May; 39(3):86-92. PubMed ID: 9211592
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Variance heterogeneity analysis for detection of potentially interacting genetic loci: method and its limitations.
    Struchalin MV; Dehghan A; Witteman JC; van Duijn C; Aulchenko YS
    BMC Genet; 2010 Oct; 11():92. PubMed ID: 20942902
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Handling nonnormality and variance heterogeneity for quantitative sublethal toxicity tests.
    Ritz C; Van der Vliet L
    Environ Toxicol Chem; 2009 Sep; 28(9):2009-17. PubMed ID: 19364187
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Overall type I error rate and power of multiple Dunnett's tests on rodent body weights in toxicology studies.
    Hoffman WP; Recknor J; Lee C
    J Biopharm Stat; 2008; 18(5):883-900. PubMed ID: 18781523
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical evaluation of toxicological assays: Dunnett or Williams test-take both.
    Jaki T; Hothorn LA
    Arch Toxicol; 2013 Nov; 87(11):1901-1910. PubMed ID: 23652543
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dunnett's many-to-one test and least square means.
    Shun Z; Silverberg A; Chang CK; Ouyang P
    J Biopharm Stat; 2003 Feb; 13(1):17-28. PubMed ID: 12635900
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pocket calculator program of one-way analysis of variance.
    Mizsei I
    Comput Biol Med; 1985; 15(4):225-35. PubMed ID: 3839448
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Methods of statistical analysis of quantitative data obtained by toxicological bioassays using rodents in Japan: historical transition of the decision tree.
    Kobayashi K
    J Environ Biol; 2001 Jan; 22(1):1-9. PubMed ID: 11480343
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Statistical analysis of pharmacological data: problem of multiple comparison].
    Hashimoto S
    Nihon Yakurigaku Zasshi; 1997 Dec; 110(6):325-32. PubMed ID: 9503390
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ANOVA and the variance homogeneity assumption: Exploring a better gatekeeper.
    Kim YJ; Cribbie RA
    Br J Math Stat Psychol; 2018 Feb; 71(1):1-12. PubMed ID: 28568313
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Questioning the usefulness of the non-parametric analysis of quantitative data by transformation into ranked data in toxicity studies.
    Kobayashi K; Watanabe K; Inoue H
    J Toxicol Sci; 1995 Feb; 20(1):47-53. PubMed ID: 7595975
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Statistical analysis of pharmacological data: a proposal for the data analysis of repeated measurements].
    Yoshimura I; Omori T
    Nihon Yakurigaku Zasshi; 1997 Dec; 110(6):333-40. PubMed ID: 9503391
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer program for the parametric and nonparametric comparison of several groups to a control.
    Blaker WD
    Comput Biol Med; 1987; 17(1):37-44. PubMed ID: 3816163
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effect of non-normality on test statistics for one-way independent groups designs.
    Cribbie RA; Fiksenbaum L; Keselman HJ; Wilcox RR
    Br J Math Stat Psychol; 2012 Feb; 65(1):56-73. PubMed ID: 21426313
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 5.