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A new inverse regression model applied to radiation biodosimetry.

Higueras M, Puig P, Ainsbury EA, Rothkamm K - Proc. Math. Phys. Eng. Sci. (2015)

Bottom Line: 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.We provide R and SAS codes which reproduce these examples.

View Article: PubMed Central - PubMed

Affiliation: Centre for Radiation, Chemical and Environmental Hazards, Public Health England , Chilton, Oxfordshire OX11 0RQ, UK ; Departament de Matemàtiques , Universitat Autònoma de Barcelona , Bellaterra, Barcelona 08193, Spain.

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 Bayesian-type 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.

No MeSH data available.


Related in: MedlinePlus

Calibrative densities of [24] Patient 1 test data calculated from a gamma mean prior density, with a  (green/solid line), a  (red/dashed-dotted line) prior dose distribution and a improper  (blue/dotted line) prior dose distribution.
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RSPA20140588F3: Calibrative densities of [24] Patient 1 test data calculated from a gamma mean prior density, with a (green/solid line), a (red/dashed-dotted line) prior dose distribution and a improper (blue/dotted line) prior dose distribution.

Mentions:  Figure 3 shows the plot of the three densities of the estimated dose for the data test. Their statistics are indicated in table 4. These results agree with those displayed in [24], where the dose estimate for Patient 1 was 1.14 Gy.Figure 3.


A new inverse regression model applied to radiation biodosimetry.

Higueras M, Puig P, Ainsbury EA, Rothkamm K - Proc. Math. Phys. Eng. Sci. (2015)

Calibrative densities of [24] Patient 1 test data calculated from a gamma mean prior density, with a  (green/solid line), a  (red/dashed-dotted line) prior dose distribution and a improper  (blue/dotted line) prior dose distribution.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4309124&req=5

RSPA20140588F3: Calibrative densities of [24] Patient 1 test data calculated from a gamma mean prior density, with a (green/solid line), a (red/dashed-dotted line) prior dose distribution and a improper (blue/dotted line) prior dose distribution.
Mentions:  Figure 3 shows the plot of the three densities of the estimated dose for the data test. Their statistics are indicated in table 4. These results agree with those displayed in [24], where the dose estimate for Patient 1 was 1.14 Gy.Figure 3.

Bottom Line: 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.We provide R and SAS codes which reproduce these examples.

View Article: PubMed Central - PubMed

Affiliation: Centre for Radiation, Chemical and Environmental Hazards, Public Health England , Chilton, Oxfordshire OX11 0RQ, UK ; Departament de Matemàtiques , Universitat Autònoma de Barcelona , Bellaterra, Barcelona 08193, Spain.

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 Bayesian-type 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.

No MeSH data available.


Related in: MedlinePlus