Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study

María Oliveira; Jochen Einbeck; Manuel Higueras; Elizabeth Ainsbury; Pedro Puig; Kai Rothkamm

doi:10.1002/bimj.201400233

Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study

Standard

Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. / Oliveira, María; Einbeck, Jochen; Higueras, Manuel; Ainsbury, Elizabeth; Puig, Pedro; Rothkamm, Kai.

In: BIOMETRICAL J, Vol. 58, No. 2, 13.10.2015, p. 259-79.

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

Harvard

Oliveira, M, Einbeck, J, Higueras, M, Ainsbury, E, Puig, P & Rothkamm, K 2015, 'Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study', BIOMETRICAL J, vol. 58, no. 2, pp. 259-79. https://doi.org/10.1002/bimj.201400233

APA

Oliveira, M., Einbeck, J., Higueras, M., Ainsbury, E., Puig, P., & Rothkamm, K. (2015). Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. BIOMETRICAL J, 58(2), 259-79. https://doi.org/10.1002/bimj.201400233

Vancouver

Oliveira M, Einbeck J, Higueras M, Ainsbury E, Puig P, Rothkamm K. Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. BIOMETRICAL J. 2015 Oct 13;58(2):259-79. https://doi.org/10.1002/bimj.201400233

Bibtex

@article{4474480a8c574404b550fbd8817262e6,

title = "Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study",

abstract = "Within the field of cytogenetic biodosimetry, Poisson regression is the classical approach for modeling the number of chromosome aberrations as a function of radiation dose. However, it is common to find data that exhibit overdispersion. In practice, the assumption of equidispersion may be violated due to unobserved heterogeneity in the cell population, which will render the variance of observed aberration counts larger than their mean, and/or the frequency of zero counts greater than expected for the Poisson distribution. This phenomenon is observable for both full- and partial-body exposure, but more pronounced for the latter. In this work, different methodologies for analyzing cytogenetic chromosomal aberrations datasets are compared, with special focus on zero-inflated Poisson and zero-inflated negative binomial models. A score test for testing for zero inflation in Poisson regression models under the identity link is also developed.",

author = "Mar{\'i}a Oliveira and Jochen Einbeck and Manuel Higueras and Elizabeth Ainsbury and Pedro Puig and Kai Rothkamm",

note = "{\textcopyright} 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.",

year = "2015",

month = oct,

day = "13",

doi = "10.1002/bimj.201400233",

language = "English",

volume = "58",

pages = "259--79",

journal = "BIOMETRICAL J",

issn = "0323-3847",

publisher = "Wiley-VCH Verlag GmbH",

number = "2",

}

RIS

TY - JOUR

T1 - Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study

AU - Oliveira, María

AU - Einbeck, Jochen

AU - Higueras, Manuel

AU - Ainsbury, Elizabeth

AU - Puig, Pedro

AU - Rothkamm, Kai

PY - 2015/10/13

Y1 - 2015/10/13

N2 - Within the field of cytogenetic biodosimetry, Poisson regression is the classical approach for modeling the number of chromosome aberrations as a function of radiation dose. However, it is common to find data that exhibit overdispersion. In practice, the assumption of equidispersion may be violated due to unobserved heterogeneity in the cell population, which will render the variance of observed aberration counts larger than their mean, and/or the frequency of zero counts greater than expected for the Poisson distribution. This phenomenon is observable for both full- and partial-body exposure, but more pronounced for the latter. In this work, different methodologies for analyzing cytogenetic chromosomal aberrations datasets are compared, with special focus on zero-inflated Poisson and zero-inflated negative binomial models. A score test for testing for zero inflation in Poisson regression models under the identity link is also developed.

AB - Within the field of cytogenetic biodosimetry, Poisson regression is the classical approach for modeling the number of chromosome aberrations as a function of radiation dose. However, it is common to find data that exhibit overdispersion. In practice, the assumption of equidispersion may be violated due to unobserved heterogeneity in the cell population, which will render the variance of observed aberration counts larger than their mean, and/or the frequency of zero counts greater than expected for the Poisson distribution. This phenomenon is observable for both full- and partial-body exposure, but more pronounced for the latter. In this work, different methodologies for analyzing cytogenetic chromosomal aberrations datasets are compared, with special focus on zero-inflated Poisson and zero-inflated negative binomial models. A score test for testing for zero inflation in Poisson regression models under the identity link is also developed.

U2 - 10.1002/bimj.201400233

DO - 10.1002/bimj.201400233

M3 - SCORING: Journal article

C2 - 26461836

VL - 58

SP - 259

EP - 279

JO - BIOMETRICAL J

JF - BIOMETRICAL J

SN - 0323-3847

IS - 2

ER -