The statistical analysis of mitochondrial DNA polymorphisms: chi 2 and the problem of small samples.

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ID: 301421
1989
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Abstract
Significance levels obtained from a chi 2 contingency test are suspect when sample sizes are small. Traditionally this has meant that data must be combined. However, such an approach may obscure heterogeneity and hence potentially reduce the power of the statistical test. In this paper, we present a Monte Carlo solution to this problem: by this method, no lumping of data is required, and the accuracy of the estimate of alpha (i.e., a type 1 error) depends only on the number of randomizations of the original data set. We illustrate this technique with data from mtDNA studies, where numerous genotypes are often observed and sample sizes are relatively small.
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openalex_W2109678076 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Derek A. Roff, Paul Bentzen
Journal molecular biology and evolution
Year 1989
DOI
10.1093/oxfordjournals.molbev.a040568
URL
https://academic.oup.com/mbe/article-pdf/6/5/539/11167669/9roff.pdf
Keywords Keywords not found

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