Permutation P-values should never be zero: calculating exact P-values when permutations are randomly drawn.

@article{Phipson2010PermutationPS,
  title={Permutation P-values should never be zero: calculating exact P-values when permutations are randomly drawn.},
  author={Belinda Phipson and Gordon K. Smyth},
  journal={Statistical applications in genetics and molecular biology},
  year={2010},
  volume={9},
  pages={Article39}
}
Permutation tests are amongst the most commonly used statistical tools in modern genomic research, a process by which p-values are attached to a test statistic by randomly permuting the sample or gene labels. Yet permutation p-values published in the genomic literature are often computed incorrectly, understated by about 1/m, where m is the number of permutations. The same is often true in the more general situation when Monte Carlo simulation is used to assign p-values. Although the p-value… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 17 references

Discussion of “The spectral analysis of point processes

G. A. Barnard
by MS Bartlett. J.R. Statist. Soc. B, • 1963
View 7 Excerpts
Highly Influenced

Modified randomization tests for nonparametric hypotheses

M. Dwass
Ann. Math. Statist., • 1957
View 5 Excerpts
Highly Influenced

Bootstrap methods and their application, Cambridge University Press, United Kingdom

A. C. Davison, D. V. Hinkley
1997
View 4 Excerpts
Highly Influenced

Randomization tests, Fourth Edition

E. S. Edgington, P. Onghena
2007
View 2 Excerpts

An introduction to modern nonparametric statistics, Brooks/Cole, Pacific

J. J. Higgins
2004
View 1 Excerpt

Permutation tests: a distance function approach, SpringerVerlag

P. W. Mielke, K. J. Berry
2001
View 1 Excerpt

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