Dismantling the Mantel tests

Publication: Research - peer-reviewConference abstract for conference – Annual report year: 2012

Standard

Dismantling the Mantel tests. / Guillot, Gilles (Invited author).

2012. Abstract from Spatial Statistics Conference 2012, Miami, United States.

Publication: Research - peer-reviewConference abstract for conference – Annual report year: 2012

Harvard

Guillot, G 2012, 'Dismantling the Mantel tests' Spatial Statistics Conference 2012, Miami, United States, 13/12/12 - 15/12/12,

APA

Guillot, G. (2012). Dismantling the Mantel tests. Abstract from Spatial Statistics Conference 2012, Miami, United States.

CBE

Guillot G. 2012. Dismantling the Mantel tests. Abstract from Spatial Statistics Conference 2012, Miami, United States.

MLA

Vancouver

Guillot G. Dismantling the Mantel tests. 2012. Abstract from Spatial Statistics Conference 2012, Miami, United States.

Author

Guillot, Gilles (Invited author) / Dismantling the Mantel tests.

2012. Abstract from Spatial Statistics Conference 2012, Miami, United States.

Publication: Research - peer-reviewConference abstract for conference – Annual report year: 2012

Bibtex

@misc{a63f596d0e4c49948d3c57dd3c93bbd9,
title = "Dismantling the Mantel tests",
author = "Gilles Guillot",
note = "Invited talk",
year = "2012",
type = "ConferencePaper <importModel: ConferenceImportModel>",

}

RIS

TY - ABST

T1 - Dismantling the Mantel tests

A1 - Guillot,Gilles

AU - Guillot,Gilles

PY - 2012

Y1 - 2012

N2 - The simple and partial Mantel tests are routinely used in many areas of evolutionary biology to assess the significance of the association between two or more matrices of distances relative to the same pairs of individuals or demes. Partial Mantel tests rather than simple Mantel tests are widely used to assess the relationship between two variables displaying some form of structure. We show that contrarily to a widely shared belief, partial Mantel tests are not valid in this case, and their bias remains close to that of the simple Mantel test. We confirm that strong biases are expected under a sampling design and spatial correlation parameter drawn from an actual study. The Mantel tests should not be used in case auto-correlation is suspected in both variables compared under the null hypothesis. We outline alternative strategies. The R code used for our computer simulations is distributed as supporting material.<br/>

AB - The simple and partial Mantel tests are routinely used in many areas of evolutionary biology to assess the significance of the association between two or more matrices of distances relative to the same pairs of individuals or demes. Partial Mantel tests rather than simple Mantel tests are widely used to assess the relationship between two variables displaying some form of structure. We show that contrarily to a widely shared belief, partial Mantel tests are not valid in this case, and their bias remains close to that of the simple Mantel test. We confirm that strong biases are expected under a sampling design and spatial correlation parameter drawn from an actual study. The Mantel tests should not be used in case auto-correlation is suspected in both variables compared under the null hypothesis. We outline alternative strategies. The R code used for our computer simulations is distributed as supporting material.<br/>

ER -