title: CytoBayesJ: software tools for Bayesian analysis of cytogenetic radiation dosimetry data.
abstract: A number of authors have suggested that a Bayesian approach may be most appropriate for analysis of cytogenetic radiation dosimetry data. In the Bayesian framework, probability of an event is described in terms of previous expectations and uncertainty. Previously existing, or prior, information is used in combination with experimental results to infer probabilities or the likelihood that a hypothesis is true. It has been shown that the Bayesian approach increases both the accuracy and quality assurance of radiation dose estimates. New software entitled CytoBayesJ has been developed with the aim of bringing Bayesian analysis to cytogenetic biodosimetry laboratory practice. CytoBayesJ takes a number of Bayesian or 'Bayesian like' methods that have been proposed in the literature and presents them to the user in the form of simple user-friendly tools, including testing for the most appropriate model for distribution of chromosome aberrations and calculations of posterior probability distributions. The individual tools are described in detail and relevant examples of the use of the methods and the corresponding CytoBayesJ software tools are given. In this way, the suitability of the Bayesian approach to biological radiation dosimetry is highlighted and its wider application encouraged by providing a user-friendly software interface and manual in English and Russian.
authors.affiliation: Public Health England Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, UK. Electronic address: liz.ainsbury@phe.gov.uk.
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Ainsbury
authors.forename: Volodymyr
authors.initials: V
authors.lastname: Vinnikov
authors.forename: Pedro
authors.initials: P
authors.lastname: Puig
authors.forename: Nataliya
authors.initials: N
authors.lastname: Maznyk
authors.forename: Kai
authors.initials: K
authors.lastname: Rothkamm
authors.forename: David C
authors.initials: DC
authors.lastname: Lloyd
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002869:Chromosome Aberrations / Q000528:radiation effects*; D002877:Chromosomes, Human / Q000528:radiation effects*; D020732:Cytogenetic Analysis / Q000379:methods*; D006801:Humans; D011829:Radiation Dosage; D011834:Radiation Monitoring / Q000379:methods*; D012984:Software
keywords: Bayesian; Biological dosimetry (biodosimetry); Hermite; Negative binomial; Neyman type-A; Radiation cytogenetics