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radir package: an R implementation for cytogenetic biodosimetry dose estimation

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radir package: an R implementation for cytogenetic biodosimetry dose estimation. / Moriña, David; Higueras, Manuel; Puig, Pedro; Ainsbury, Elizabeth A; Rothkamm, Kai.

In: J RADIOL PROT, Vol. 35, No. 3, 10.07.2015, p. 557-569.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Moriña, D, Higueras, M, Puig, P, Ainsbury, EA & Rothkamm, K 2015, 'radir package: an R implementation for cytogenetic biodosimetry dose estimation', J RADIOL PROT, vol. 35, no. 3, pp. 557-569. https://doi.org/10.1088/0952-4746/35/3/557

APA

Moriña, D., Higueras, M., Puig, P., Ainsbury, E. A., & Rothkamm, K. (2015). radir package: an R implementation for cytogenetic biodosimetry dose estimation. J RADIOL PROT, 35(3), 557-569. https://doi.org/10.1088/0952-4746/35/3/557

Vancouver

Moriña D, Higueras M, Puig P, Ainsbury EA, Rothkamm K. radir package: an R implementation for cytogenetic biodosimetry dose estimation. J RADIOL PROT. 2015 Jul 10;35(3):557-569. https://doi.org/10.1088/0952-4746/35/3/557

Bibtex

@article{764e73d49b1e4a2ebd2711c844712605,
title = "radir package: an R implementation for cytogenetic biodosimetry dose estimation",
abstract = "The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent Bayesian-type dose estimation methodology. radir adopts the method of dose estimation under the Poisson assumption of the responses (the chromosomal aberrations counts) for the required dose-response curve (typically linear or quadratic). The individual commands are described in detail and relevant examples of the use of the methods and the corresponding radir software tools are given. The suitability of this methodology is highlighted and its application encouraged by providing a user-friendly command-type software interface within the R statistical software (version 3.1.1 or higher), which includes a complete manual.",
author = "David Mori{\~n}a and Manuel Higueras and Pedro Puig and Ainsbury, {Elizabeth A} and Kai Rothkamm",
year = "2015",
month = jul,
day = "10",
doi = "10.1088/0952-4746/35/3/557",
language = "English",
volume = "35",
pages = "557--569",
journal = "J RADIOL PROT",
issn = "0952-4746",
publisher = "IOP Publishing Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - radir package: an R implementation for cytogenetic biodosimetry dose estimation

AU - Moriña, David

AU - Higueras, Manuel

AU - Puig, Pedro

AU - Ainsbury, Elizabeth A

AU - Rothkamm, Kai

PY - 2015/7/10

Y1 - 2015/7/10

N2 - The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent Bayesian-type dose estimation methodology. radir adopts the method of dose estimation under the Poisson assumption of the responses (the chromosomal aberrations counts) for the required dose-response curve (typically linear or quadratic). The individual commands are described in detail and relevant examples of the use of the methods and the corresponding radir software tools are given. The suitability of this methodology is highlighted and its application encouraged by providing a user-friendly command-type software interface within the R statistical software (version 3.1.1 or higher), which includes a complete manual.

AB - The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent Bayesian-type dose estimation methodology. radir adopts the method of dose estimation under the Poisson assumption of the responses (the chromosomal aberrations counts) for the required dose-response curve (typically linear or quadratic). The individual commands are described in detail and relevant examples of the use of the methods and the corresponding radir software tools are given. The suitability of this methodology is highlighted and its application encouraged by providing a user-friendly command-type software interface within the R statistical software (version 3.1.1 or higher), which includes a complete manual.

U2 - 10.1088/0952-4746/35/3/557

DO - 10.1088/0952-4746/35/3/557

M3 - SCORING: Journal article

C2 - 26160852

VL - 35

SP - 557

EP - 569

JO - J RADIOL PROT

JF - J RADIOL PROT

SN - 0952-4746

IS - 3

ER -