Ramos-Onsins Sebastian E, Rozas Julio
Departament de Genètica, Universitat de Barcelona, E-08071 Barcelona, Spain.
Mol Biol Evol. 2002 Dec;19(12):2092-100. doi: 10.1093/oxfordjournals.molbev.a004034.
A number of statistical tests for detecting population growth are described. We compared the statistical power of these tests with that of others available in the literature. The tests evaluated fall into three categories: those tests based on the distribution of the mutation frequencies, on the haplotype distribution, and on the mismatch distribution. We found that, for an extensive variety of cases, the most powerful tests for detecting population growth are Fu's F(S) test and the newly developed R(2) test. The behavior of the R(2) test is superior for small sample sizes, whereas F(S) is better for large sample sizes. We also show that some popular statistics based on the mismatch distribution are very conservative.
本文描述了一些用于检测种群增长的统计检验方法。我们将这些检验方法的统计功效与文献中其他可用方法的功效进行了比较。所评估的检验方法分为三类：基于突变频率分布的检验、基于单倍型分布的检验以及基于错配分布的检验。我们发现，在各种各样的情况下，检测种群增长最有效的检验方法是傅氏F(S)检验和新开发的R(2)检验。R(2)检验在小样本量时表现更优，而F(S)检验在大样本量时效果更好。我们还表明，一些基于错配分布的常用统计量非常保守。
