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Are partial mantel tests adequate?

N Raufaste1, F Rousset

  • 1Laboratoire Génome, Populations, Interactions, cc63, Université Montpellier II, France. nraufaste@crit.univ-montp2.fr

Evolution; International Journal of Organic Evolution
|October 3, 2001
PubMed
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Partial Mantel tests may not accurately assess correlations between three distance matrices. The P-value can be misleading, potentially indicating incorrect statistical significance for ecological and genetic distance analyses.

Area of Science:

  • Ecology
  • Genetics
  • Statistics
  • Bioinformatics

Background:

  • Partial Mantel tests are commonly used to assess correlations between multiple distance matrices.
  • These tests are applied in various fields, including ecology and population genetics, to understand relationships between different data types.

Purpose of the Study:

  • To evaluate the reliability of Partial Mantel tests.
  • To demonstrate potential inadequacies in the statistical interpretation of these tests.

Main Methods:

  • The study utilized an example to illustrate the limitations of Partial Mantel tests.
  • Analysis focused on the interpretation of P-values in the context of type I error rates.

Main Results:

Related Experiment Videos

  • Partial Mantel tests may provide inaccurate assessments of correlation strength.
  • The associated P-value does not reliably indicate the true rate of type I errors.

Conclusions:

  • Researchers should exercise caution when interpreting results from Partial Mantel tests.
  • Alternative or supplementary methods may be necessary for robust correlation analysis involving multiple distance matrices.