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dc.creatorHedges, SB
dc.creatorShah, P
dc.date.accessioned2021-02-01T22:32:40Z
dc.date.available2021-02-01T22:32:40Z
dc.date.issued2003-07-31
dc.identifier.issn1471-2105
dc.identifier.issn1471-2105
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/5645
dc.identifier.other12892571 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/5663
dc.description.abstractBackground: Distributions of time estimates in molecular clock studies are sometimes skewed or contain outliers. In those cases, the mode is a better estimator of the overall time of divergence than the mean or median. However, different methods are available for estimating the mode. We compared these methods in simulations to determine their strengths and weaknesses and further assessed their performance when applied to real data sets from a molecular clock study. Results: We found that the half-range mode and robust parametric mode methods have a lower bias than other mode methods under a diversity of conditions. However, the half-range mode suffers from a relatively high variance and the robust parametric mode is more susceptible to bias by outliers. We determined that bootstrapping reduces the variance of both mode estimators. Application of the different methods to real data sets yielded results that were concordant with the simulations. Conclusion: Because the half-range mode is a simple and fast method, and produced less bias overall in our simulations, we recommend the bootstrapped version of it as a general-purpose mode estimator and suggest a bootstrap method for obtaining the standard error and 95% confidence interval of the mode. © 2003 Hedges and Shah; licensee BioMed Central Ltd.
dc.format.extent31-31
dc.language.isoeng
dc.relation.haspartBMC Bioinformatics
dc.relation.isreferencedbySpringer Science and Business Media LLC
dc.subjectAscomycota
dc.subjectBasidiomycota
dc.subjectBiological Clocks
dc.subjectBryophyta
dc.subjectChlorophyta
dc.subjectComputational Biology
dc.subjectComputer Simulation
dc.subjectEvolution, Molecular
dc.subjectModels, Statistical
dc.subjectNormal Distribution
dc.subjectPlants
dc.titleComparison of mode estimation methods and application in molecular clock analysis
dc.typeArticle
dc.type.genreJournal Article
dc.relation.doi10.1186/1471-2105-4-31
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.date.updated2021-02-01T22:32:37Z
refterms.dateFOA2021-02-01T22:32:40Z


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