Biological dosimetry, statistical challenges: Biological dosimetry after high-dose exposures to ionizing radiation

Joan Francesc Barquinero; Pere Puig

doi:10.1007/978-3-319-55639-0_11

Biological dosimetry, statistical challenges: Biological dosimetry after high-dose exposures to ionizing radiation

Joan Francesc Barquinero, Pere Puig

Research output: Chapter in Book › Chapter › Research › peer-review

2 Citations (Scopus)

Abstract

© 2017, Springer International Publishing AG. A statistical model to deal with low and high-dose exposures is presented. The model is based on a weighted Poisson distribution which allows to explain the underdispersion observed in the empirical data. A Gompertz type calibration curve is also introduced.

Original language	English
Title of host publication	Trends in Mathematics
Pages	67-70
Number of pages	3
Volume	7
ISBN (Electronic)	2297-024X
DOIs	https://doi.org/10.1007/978-3-319-55639-0_11
Publication status	Published - 1 Jan 2017

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abstract = "{\textcopyright} 2017, Springer International Publishing AG. A statistical model to deal with low and high-dose exposures is presented. The model is based on a weighted Poisson distribution which allows to explain the underdispersion observed in the empirical data. A Gompertz type calibration curve is also introduced.",

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AB - © 2017, Springer International Publishing AG. A statistical model to deal with low and high-dose exposures is presented. The model is based on a weighted Poisson distribution which allows to explain the underdispersion observed in the empirical data. A Gompertz type calibration curve is also introduced.

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BT - Trends in Mathematics

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Biological dosimetry, statistical challenges: Biological dosimetry after high-dose exposures to ionizing radiation

Abstract

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