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Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem
並列摘要
The main interest of the cytogenetic dosimetry is the prevision of an unknown radiation dosage based in cytogenetic analysis. In this paper the dosimetry problem is formulated as a linear calibration problem for binary response data. Two approaches are considered for inference on the quantity of interest, which is expressed as a calibration parameter in a discrete response variable situation. One is based on the maximum likelihood approach, which depends on large sample results and the second one is based on a Markov chain Monte Carlo (MCMC) simulation approach using BUGS. Application to a data set obtained from blood cultures exposed in vitro to Cobalt 60 (.60Co) at the Energetic Nuclear Research Center (IPEN-Brasil) is considered.
延伸閱讀
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