First-order correct bootstrap support adjustments for splits that allow hypothesis testing when using maximum likelihood estimation.

Abstract:

:The most frequent measure of phylogenetic uncertainty for splits is bootstrap support. Although large bootstrap support intuitively suggests that a split in a tree is well supported, it has not been clear how large bootstrap support needs to be to conclude that there is significant evidence that a hypothesized split is present. Indeed, recent work has shown that bootstrap support is not first-order correct and thus cannot be directly used for hypothesis testing. We present methods that adjust bootstrap support values in a maximum likelihood (ML) setting so that they have an interpretation corresponding to P values in conventional hypothesis testing; for instance, adjusted bootstrap support larger than 95% occurs only 5% of the time if the split is not present. Through examples and simulation settings, it is found that adjustments always increase the level of support. We also find that the nature of the adjustment is fairly constant across parameter settings. Finally, we consider adjustments that take into account the data-dependent nature of many hypotheses about splits: the hypothesis that they are present is being tested because they are in the tree estimated through ML. Here, in contrast, we find that bootstrap probability often needs to be adjusted downwards.

journal_name

Mol Biol Evol

authors

Susko E

doi

10.1093/molbev/msq048

subject

Has Abstract

pub_date

2010-07-01 00:00:00

pages

1621-9

issue

7

eissn

0737-4038

issn

1537-1719

pii

msq048

journal_volume

27

pub_type

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