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Mol Ecol. 2009 Jan;18(2):319-31. doi: 10.1111/j.1365-294X.2008.04026.x.
2
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3
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4
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5
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6
The automation and evaluation of nested clade phylogeographic analysis.嵌套分支系统发育地理学分析的自动化与评估
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为什么一个失败的方法仍在继续被使用?答案是……

Why does a method that fails continue to be used? The answer.

作者信息

Templeton Alan R

机构信息

Department of Biology, Campus Box 1137, Washington University, St. Louis, Missouri 63130, USA.

出版信息

Evolution. 2009 Apr;63(4):807-12. doi: 10.1111/j.1558-5646.2008.00600.x.

DOI:10.1111/j.1558-5646.2008.00600.x
PMID:19335340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2693665/
Abstract

It has been claimed that hundreds of researchers use nested clade phylogeographic analysis (NCPA) based on what the method promises rather than requiring objective validation of the method. The supposed failure of NCPA is based upon the argument that validating it by using positive controls ignored type I error, and that computer simulations have shown a high type I error. The first argument is factually incorrect: the previously published validation analysis fully accounted for both type I and type II errors. The simulations that indicate a 75% type I error rate have serious flaws and only evaluate outdated versions of NCPA. These outdated type I error rates fall precipitously when the 2003 version of single-locus NCPA is used or when the 2002 multilocus version of NCPA is used. It is shown that the tree-wise type I errors in single-locus NCPA can be corrected to the desired nominal level by a simple statistical procedure, and that multilocus NCPA reconstructs a simulated scenario used to discredit NCPA with 100% accuracy. Hence, NCPA is a not a failed method at all, but rather has been validated both by actual data and by simulated data in a manner that satisfies the published criteria given by its critics. The critics have come to different conclusions because they have focused on the pre-2002 versions of NCPA and have failed to take into account the extensive developments in NCPA since 2002. Hence, researchers can choose to use NCPA based upon objective critical validation that shows that NCPA delivers what it promises.

摘要

有人声称,数百名研究人员使用嵌套分支系统发育地理学分析(NCPA)是基于该方法所宣称的内容,而非对该方法进行客观验证。NCPA所谓的失败是基于这样的论点:通过使用阳性对照来验证它忽略了I型错误,并且计算机模拟显示I型错误率很高。第一个论点事实上是不正确的:先前发表的验证分析充分考虑了I型和II型错误。表明I型错误率为75%的模拟存在严重缺陷,并且只评估了NCPA的过时版本。当使用2003年的单基因座NCPA版本或2002年的多基因座NCPA版本时,这些过时的I型错误率会急剧下降。研究表明,单基因座NCPA中基于树的I型错误可以通过一个简单的统计程序校正到所需的名义水平,并且多基因座NCPA以100%的准确率重建了一个用于诋毁NCPA的模拟情景。因此,NCPA根本不是一个失败的方法,而是已经通过实际数据和模拟数据以满足其批评者所给出的已发表标准的方式得到了验证。批评者得出了不同的结论,因为他们关注的是2002年之前的NCPA版本,并且没有考虑到自2002年以来NCPA的广泛发展。因此,研究人员可以基于客观的严格验证选择使用NCPA,该验证表明NCPA兑现了它的承诺。