Title |
Bayesian models for comparative analysis integrating phylogenetic uncertainty
|
---|---|
Published in |
BMC Ecology and Evolution, June 2012
|
DOI | 10.1186/1471-2148-12-102 |
Pubmed ID | |
Authors |
Pierre de Villemereuil, Jessie A Wells, Robert D Edwards, Simon P Blomberg |
Abstract |
Uncertainty in comparative analyses can come from at least two sources: a) phylogenetic uncertainty in the tree topology or branch lengths, and b) uncertainty due to intraspecific variation in trait values, either due to measurement error or natural individual variation. Most phylogenetic comparative methods do not account for such uncertainties. Not accounting for these sources of uncertainty leads to false perceptions of precision (confidence intervals will be too narrow) and inflated significance in hypothesis testing (e.g. p-values will be too small). Although there is some application-specific software for fitting Bayesian models accounting for phylogenetic error, more general and flexible software is desirable. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 17% |
Australia | 1 | 17% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
Brazil | 5 | 2% |
Germany | 2 | <1% |
Colombia | 1 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Portugal | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 6 | 2% |
Unknown | 241 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 76 | 28% |
Researcher | 61 | 23% |
Student > Master | 26 | 10% |
Student > Postgraduate | 16 | 6% |
Student > Doctoral Student | 16 | 6% |
Other | 54 | 20% |
Unknown | 19 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 180 | 67% |
Environmental Science | 24 | 9% |
Biochemistry, Genetics and Molecular Biology | 12 | 4% |
Computer Science | 9 | 3% |
Medicine and Dentistry | 5 | 2% |
Other | 15 | 6% |
Unknown | 23 | 9% |