OECD Test Guidelines and Statistics

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Quotes and Exceptions
Author

Zhenglei Gao

Published

January 3, 2024

OECD 233

  • OECD (2010), Test No. 233: Sediment-Water Chironomid Life-Cycle Toxicity Test Using Spiked Water or Spiked Sediment, OECD Guidelines for the Testing of Chemicals, Section 2, OECD Publishing, Paris, https://doi.org/10.1787/9789264090910-en.

Design for estimation of a NOEC

  1. For a NOEC approach, five test concentrations with at least eight replicates (4 for each breeding cage, A and B) should be used and the factor between concentrations should not be greater than two. The number of replicates should be sufficient to ensure adequate statistical power to detect a 20% difference from the control at the 5% level of significance (α = 0.05). For the development rate, fecundity and fertility an analysis of variance (ANOVA) is usually appropriate, followed by Dunnett’s test or Williams’ test (22- 25). For the emergence ratio and sex ratio the Cochran-Armitage, Fisher’s exact (with Bonferroni correction), or Mantel-Haentzal tests may be appropriate.
  1. Alternatively, more robust tests (27) can be appropriate in situations where there are violations of the usual ANOVA assumptions (31).

References

  • OECD (2010), Test No. 233: Sediment-Water Chironomid Life-Cycle Toxicity Test Using Spiked Water or Spiked Sediment, OECD Guidelines for the Testing of Chemicals, Section 2, OECD Publishing, Paris, https://doi.org/10.1787/9789264090910-en.
  • OECD (2006), Current Approaches in the Statistical Analysis of Ecotoxicity Data: a Guidance to Application, OECD Series on Testing and Assessment No. 54, 146 pp., ENV/JM/MONO(2006)18, OECD, Paris.
  • Bruce, R.D. and D.J. Versteeg (1992), A statistical procedure for modelling continuous toxicity data, Environ. Toxicol. Chem., 11: 1485-1494.
  • Slob, W. (2002), Dose-response modelling of continuous endpoints. Toxicol. Sci., 66: 298-312.
  • Christensen, E.R. (1984), Dose-response functions in aquatic toxicity testing and the Weibull model, Water Res., 18: 213-221.
  • Rao, J.N.K. and A.J. Scott (1992), A simple method for the analysis of clustered binary data. Biometrics, 48: 577-585.
  • Dunnett, C.W. (1964), A multiple comparisons procedure for comparing several treatments with a control. J. Amer. Statis. Assoc., 50: 1096-1121.
  • Dunnett, C.W. (1964), New tables for multiple comparisons with a control, Biometrics, 20: 482-
  • Williams, D.A. (1971), A test for differences between treatment means when several dose levels are compared with a zero dose control. Biometrics, 27: 103-117.
  • Williams, D.A. (1972), The comparison of several dose levels with a zero dose control. Biometrics, 28: 510-531.