Which exact test is more powerful in testing the hardy-weinberg law?

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The asymptotic chi-square test for testing the Hardy-Weinberg law is unreliable in either small or unbalanced samples. As an alternative, either the unconditional or conditional exact test might be used. It is known that the unconditional exact test has greater power than the conditional exact test in small samples. In this article, we show that the conditional exact test is more powerful than the unconditional exact test in large samples. This result is useful in extremely unbalanced cases with large sample sizes which are often obtained when a rare allele exists.

Original languageEnglish
Pages (from-to)14-24
Number of pages11
JournalCommunications in Statistics: Simulation and Computation
Volume37
Issue number1
DOIs
Publication statusPublished - 2008 Jan 1

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Exact Test
Conditional Test
Testing
Unconditional Test
Asymptotic Test
Chi-squared test
Small Sample
Sample Size
Alternatives

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Statistics and Probability

Cite this

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Which exact test is more powerful in testing the hardy-weinberg law? / Kang, Seung Ho.

In: Communications in Statistics: Simulation and Computation, Vol. 37, No. 1, 01.01.2008, p. 14-24.

Research output: Contribution to journalArticle

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