Literature DB >> 19335340

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

Alan R Templeton1.   

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 The simulations that indicate a 75% type I error rate have serious flaws and only evaluate outdated versions of NCPA. These outdated type I error rates fall precipitously when the 2003 version of single-locus NCPA is used or when the 2002 multilocus version of NCPA is used.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.

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Year:  2009        PMID: 19335340      PMCID: PMC2693665          DOI: 10.1111/j.1558-5646.2008.00600.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  13 in total

1.  Out of Africa again and again.

Authors:  Alan Templeton
Journal:  Nature       Date:  2002-03-07       Impact factor: 49.962

2.  Statistical phylogeography.

Authors:  L Lacey Knowles; Wayne P Maddison
Journal:  Mol Ecol       Date:  2002-12       Impact factor: 6.185

3.  Statistical phylogeography: methods of evaluating and minimizing inference errors.

Authors:  Alan R Templeton
Journal:  Mol Ecol       Date:  2004-04       Impact factor: 6.185

4.  The automation and evaluation of nested clade phylogeographic analysis.

Authors:  Mahesh Panchal; Mark A Beaumont
Journal:  Evolution       Date:  2007-06       Impact factor: 3.694

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

Authors:  L Lacey Knowles
Journal:  Evolution       Date:  2008-11       Impact factor: 3.694

Review 6.  Haplotype trees and modern human origins.

Authors:  Alan R Templeton
Journal:  Am J Phys Anthropol       Date:  2005       Impact factor: 2.868

Review 7.  Nested clade analyses of phylogeographic data: testing hypotheses about gene flow and population history.

Authors:  A R Templeton
Journal:  Mol Ecol       Date:  1998-04       Impact factor: 6.185

8.  Discerning between recurrent gene flow and recent divergence under a finite-site mutation model applied to North Atlantic and Mediterranean Sea fin whale (Balaenoptera physalus) populations.

Authors:  Per J Palsbøll; Martine Bérubé; Alex Aguilar; Giuseppe Notarbartolo-Di-Sciara; Rasmus Nielsen
Journal:  Evolution       Date:  2004-03       Impact factor: 3.694

9.  Separating population structure from population history: a cladistic analysis of the geographical distribution of mitochondrial DNA haplotypes in the tiger salamander, Ambystoma tigrinum.

Authors:  A R Templeton; E Routman; C A Phillips
Journal:  Genetics       Date:  1995-06       Impact factor: 4.562

10.  Statistical hypothesis testing in intraspecific phylogeography: nested clade phylogeographical analysis vs. approximate Bayesian computation.

Authors:  Alan R Templeton
Journal:  Mol Ecol       Date:  2009-01       Impact factor: 6.185

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  13 in total

1.  Coherent and incoherent inference in phylogeography and human evolution.

Authors:  Alan R Templeton
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-22       Impact factor: 11.205

2.  Mitochondrial DNA variation in the malaria vector Anopheles minimus across China, Thailand and Vietnam: evolutionary hypothesis, population structure and population history.

Authors:  B Chen; P M Pedro; R E Harbach; P Somboon; C Walton; R K Butlin
Journal:  Heredity (Edinb)       Date:  2010-06-02       Impact factor: 3.821

3.  A Bayesian approach to phylogeographic clustering.

Authors:  Ioanna Manolopoulou; Lorenza Legarreta; Brent C Emerson; Steve Brooks; Simon Tavaré
Journal:  Interface Focus       Date:  2011-10-05       Impact factor: 3.906

4.  Biological races in humans.

Authors:  Alan R Templeton
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2013-05-16

5.  Three roads diverged? Routes to phylogeographic inference.

Authors:  Erik W Bloomquist; Philippe Lemey; Marc A Suchard
Journal:  Trends Ecol Evol       Date:  2010-09-20       Impact factor: 17.712

6.  In defence of model-based inference in phylogeography.

Authors:  Mark A Beaumont; Rasmus Nielsen; Christian Robert; Jody Hey; Oscar Gaggiotti; Lacey Knowles; Arnaud Estoup; Mahesh Panchal; Jukka Corander; Mike Hickerson; Scott A Sisson; Nelson Fagundes; Lounès Chikhi; Peter Beerli; Renaud Vitalis; Jean-Marie Cornuet; John Huelsenbeck; Matthieu Foll; Ziheng Yang; Francois Rousset; David Balding; Laurent Excoffier
Journal:  Mol Ecol       Date:  2010-01-11       Impact factor: 6.185

Review 7.  The diverse applications of cladistic analysis of molecular evolution, with special reference to nested clade analysis.

Authors:  Alan R Templeton
Journal:  Int J Mol Sci       Date:  2010-01-08       Impact factor: 5.923

8.  Coalescent-based, maximum likelihood inference in phylogeography.

Authors:  Alan R Templeton
Journal:  Mol Ecol       Date:  2010-01-11       Impact factor: 6.185

9.  Approximate Bayesian computation.

Authors:  Mikael Sunnåker; Alberto Giovanni Busetto; Elina Numminen; Jukka Corander; Matthieu Foll; Christophe Dessimoz
Journal:  PLoS Comput Biol       Date:  2013-01-10       Impact factor: 4.475

10.  Conservation genetics and phylogeography of endangered and endemic shrub Tetraena mongolica (Zygophyllaceae) in Inner Mongolia, China.

Authors:  Xue-Jun Ge; Chi-Chuan Hwang; Zin-Huang Liu; Chi-Chun Huang; Wei-Hsiang Huang; Kuo-Hsiang Hung; Wei-Kuang Wang; Tzen-Yuh Chiang
Journal:  BMC Genet       Date:  2011-01-04       Impact factor: 2.797

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