Enviromental genotoxicity evaluation: Bayesian approach for a mixture statistical model |
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Authors: | A M de S Bueno C A de B Pereira M N Rabello-Gay J M Stern |
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Institution: | (1) Univ. Fed. Santa Catarina – CCB, Florianópolis, SC, Brazil, BR;(2) Univ. Sāo Paulo, SP, Brazil e-mail: cpereira@ime.usp.br, BR;(3) Instituto Butantan, Laboratório de Genética, Brazil, BR;(4) Univ. Sāo Paulo-IME-MAC, Sāo Paulo, SP, Brazil, BR |
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Abstract: | The data analyzed in this paper are part of the results described in Bueno et al. (2000). Three cytogenetics endpoints were
analyzed in three populations of a species of wild rodent – Akodon montensis – living in an industrial, an agricultural, and
a preservation area at the Itajaí Valley, State of Santa Catarina, Brazil. The polychromatic/normochromatic ratio, the mitotic
index, and the frequency of micronucleated polychromatic erythrocites were used in an attempt to establish a genotoxic profile
of each area. It was assumed that the three populations were in the same conditions with respect to the influence of confounding
factors such as animal age, health, nutrition status, presence of pathogens, and intra- and inter-populational genetic variability.
Therefore, any differences found in the endpoints analyzed could be attributed to the external agents present in each area.
The statistical models used in this paper are mixtures of negative-binomials and Poisson variables. The Poisson variables
are used as approximations of binomials for rare events. The mixing distributions are beta densities. The statistical analyzes
are under the bayesian perspective, as opposed to the frequentist ones often considered in the literature, as for instance
in Bueno et al. (2000). |
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Keywords: | : Cell proliferative indices Micronucleated cells Prior and posterior probabilities Beta-(negative) Binomial distribution Beta-Poisson distribution Mixture of Beta distributions |
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