Brazilian Journal of Probability and Statistics

A fully Bayesian parametric approach for cytogenetic dosimetry

Carlos Daniel Paulino, Giovani L. Silva, and Márcia Branco

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Abstract

This paper describes a new statistical analysis strategy to problems of cytogenetic dosimetry involving ordinal polythomous responses. Models relating the multivariate response to dose take the data ordinality into account and are analysed in a fully Bayesian fashion in the application here considered. In particular, these models are compared in order to select the best one for purposes of drawing inferences of interest and dose prediction is naturally addressed by its practical importance. This work was motivated by an in vitro experimental study on radiation exposure of human blood cell cultures, previously analysed in the literature by other methods, but its interest holds in many other applications of the biological and environmental field involving data sets yielded from the same type of assays for genetic damage.

Article information

Source
Braz. J. Probab. Stat. Volume 27, Number 1 (2013), 70-83.

Dates
First available in Project Euclid: 16 October 2012

Permanent link to this document
http://projecteuclid.org/euclid.bjps/1350394630

Digital Object Identifier
doi:10.1214/11-BJPS152

Mathematical Reviews number (MathSciNet)
MR2991779

Zentralblatt MATH identifier
1253.62085

Keywords
Calibration categorical data continuation-ratio logits Bayesian methods nonlinear structural model

Citation

Paulino, Carlos Daniel; Silva, Giovani L.; Branco, Márcia. A fully Bayesian parametric approach for cytogenetic dosimetry. Braz. J. Probab. Stat. 27 (2013), no. 1, 70--83. doi:10.1214/11-BJPS152. http://projecteuclid.org/euclid.bjps/1350394630.


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