Marcia D. Branco, Heleno Bolfarine, Pilar Iglesias and Reinaldo Boris Arellano-Valle

Journal of Data Science, v.1, no.1, 65-82.

Abstract

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 $(.^{60}Co)$ at the Energetic Nuclear Research Center (IPEN - Brasil) is considered.

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