Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study
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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, Jahrgang 58, Nr. 2, 13.10.2015, S. 259-79.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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
N1 - © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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 -