Statistical properties of new neutrality tests against population growth.
Statistical properties of new neutrality tests against population growth.
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针对人口增长的新中立性检验的统计特性。
DOI：
10.1093/molbev/msl052
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发表时间：
2002
影响因子：
2.6
通讯作者：
Julio A. Rozas Liras
中科院分区：
文献类型：
--
作者：
S. E. R. Onsins;Julio A. Rozas Liras
描述了一些用于检测人口增长的统计测试。我们将这些测试的统计能力与文献中的其他测试进行了比较。评估的测试分为三类：基于突变频率分布的测试、基于单倍型分布的测试和基于错配分布的测试。我们发现，对于各种各样的情况，检测人口增长最有效的检验是傅氏FStest和新开发的R2检验。R2检验在小样本量时表现更好，而FS在大样本量时更好。我们还发现，一些流行的基于失配分布的统计数据非常保守。
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'sFStest and the newly developedR2test. The behavior of theR2test is superior for small sample sizes, whereasFSis better for large sample sizes. We also show that some popular statistics based on the mismatch distribution are very conservative.