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Statistical evaluation of toxicological assays: Dunnett or Williams test-take both.

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  • المؤلفون: Jaki T;Jaki T; Hothorn LA; Hothorn LA
  • المصدر:
    Archives of toxicology [Arch Toxicol] 2013 Nov; Vol. 87 (11), pp. 1901-1910. Date of Electronic Publication: 2013 May 08.
  • نوع النشر :
    Journal Article; Research Support, Non-U.S. Gov't
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0417615 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0738 (Electronic) Linking ISSN: 03405761 NLM ISO Abbreviation: Arch Toxicol Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: Berlin, New York, Springer-Verlag.
    • الموضوع:
      Data Interpretation, Statistical*; Toxicity Tests/*statistics & numerical data ; Toxicology/*legislation & jurisprudence; Algorithms ; Animals ; Biometry/methods ; Blood Urea Nitrogen ; Butadienes/toxicity ; Carcinogens/toxicity ; Chemistry, Clinical/statistics & numerical data ; Dose-Response Relationship, Drug ; Endpoint Determination ; Eugenol/analogs & derivatives ; Eugenol/toxicity ; Fungicides, Industrial/toxicity ; Humans ; No-Observed-Adverse-Effect Level ; Software ; United States
    • نبذة مختصرة :
      The US National Toxicology Program recommends the use of the parametric multiple comparison procedures of Dunnett and Williams for the evaluation of repeated toxicity studies. For endpoints where either increasing or decreasing effects are of toxicological relevance, we recommend the use of the two-sided Dunnett test exclusively. For the many other endpoints, where a priori only one direction is of toxicological relevance, however, we recommend the combination of Dunnett and Williams test. In particular, we recommend the so-called Umbrella-protected Williams test which offers insights for all interesting monotone and non-monotone alternatives while only suffering a marginal loss in power compared to the Dunnett test. We illustrate the power difference analytically and compare the approach for different endpoint types using three real data examples to alternative tests available. Nonparametric tests, which are suitable for the evaluation of skewed distributed or scores data, are also considered. Particular attention is given to the different interpretations of the findings revealed by the different test. R programs used for the analyses are provided.
    • الرقم المعرف:
      0 (Butadienes)
      0 (Carcinogens)
      0 (Fungicides, Industrial)
      29T9VA6R7M (methyleugenol)
      3T8H1794QW (Eugenol)
      CQ8AAO9MO1 (hexachlorobutadiene)
    • الموضوع:
      Date Created: 20130509 Date Completed: 20140515 Latest Revision: 20170427
    • الموضوع:
      20240829
    • الرقم المعرف:
      10.1007/s00204-013-1065-x
    • الرقم المعرف:
      23652543