@article{eb896252f2d14d0bb411cf42d1f7078a,
title = "The effects of random taxa sampling schemes in Bayesian virus phylogeography",
abstract = "Public health researchers are often tasked with accurately and quickly identifying the location and time when an epidemic originated from a representative sample of nucleotide sequences. In this paper, we investigate multiple approaches to subsampling the sequence set when employing a Bayesian phylogeographic generalized linear model. Our results indicate that near-categorical posterior MCC estimates on the root can be obtained with replicate runs using 25–50% of the sequence data, and that including 90% of sequences does not necessarily entail more accurate inferences. We present the first analysis of predictor signal suppression and show how the ability to detect the influence of predictor variables is limited when sample size predictors are included in the models.",
keywords = "Phylogeography, Selection Bias, Viruses",
author = "Daniel Magee and Matthew Scotch",
note = "Funding Information: Research reported in this publication was supported by the National Library of Medicine of the National Institutes of Health under Award Number R01LM012080 (to MS). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We would also like to thank the ARCS Foundation, Phoenix Chapter for their generous support (to DM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Funding Information: Research reported in this publication was supported by the National Library of Medicine of the National Institutes of Health under Award Number R01LM012080 (to MS). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We would also like to thank the ARCS Foundation, Phoenix Chapter for their generous support (to DM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2018 The Authors",
year = "2018",
month = oct,
doi = "10.1016/j.meegid.2018.07.003",
language = "English (US)",
volume = "64",
pages = "225--230",
journal = "Infection, Genetics and Evolution",
issn = "1567-1348",
publisher = "Elsevier",
}