A new inverse regression model applied to radiation biodosimetry

Manuel Higueras*, Pedro Puig, Elizabeth Ainsbury, Kai Rothkamm

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Biological dosimetry based on chromosome aberration scoring in peripheral blood lymphocytes enables timely assessment of the ionizing radiation dose absorbed by an individual. Here, new Bayesiantype count data inverse regression methods are introduced for situations where responses are Poisson or two-parameter compound Poisson distributed. Our Poisson models are calculated in a closed form, by means of Hermite and negative binomial (NB) distributions. For compound Poisson responses, complete and simplified models are provided. The simplified models are also expressible in a closed form and involve the use of compound Hermite and compound NB distributions. Three examples of applications are given that demonstrate the usefulness of these methodologies in cytogenetic radiation biodosimetry and in radiotherapy. We provide R and SAS codes which reproduce these examples.

Original languageEnglish
Article number20140588
JournalProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume471
Issue number2174
DOIs
Publication statusPublished - 8 Feb 2015

Bibliographical note

Publisher Copyright:
© 2015 The Authors. Published by the Royal Society.

Keywords

  • Bayesian calibration
  • Biological dosimetry
  • Calibrative density
  • Compound poisson distribution
  • Hermite distribution
  • Radiotherapy

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