On the use of random effect models for radiation biodosimetry

Jochen Einbeck; Elizabeth Ainsbury; Stephen Barnard; Maria Oliveira; Grainne Manning; Pere Puig; Christophe Badie

doi:10.1007/978-3-319-55639-0_15

On the use of random effect models for radiation biodosimetry

Jochen Einbeck, Elizabeth Ainsbury, Stephen Barnard, Maria Oliveira, Grainne Manning, Pere Puig, Christophe Badie

Department of Mathematics

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

2 Citations (Scopus)

Abstract

© 2017, Springer International Publishing AG. The application of random effect models to different radiation biomarkers, including cytogenetic, protein-based, and gene-expression based biomarkers, is discussed. Explicit case studies are provided for the latter two scenarios, in which random effect models appear especially attractive as they can cope well with the large inter-individual variation which is typical for these biomarkers.

Original language	English
Title of host publication	Trends in Mathematics
Pages	89-94
Number of pages	5
Volume	7
ISBN (Electronic)	2297-024X
DOIs	https://doi.org/10.1007/978-3-319-55639-0_15
Publication status	Published - 1 Jan 2017

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AU - Puig, Pere

AU - Badie, Christophe

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AB - © 2017, Springer International Publishing AG. The application of random effect models to different radiation biomarkers, including cytogenetic, protein-based, and gene-expression based biomarkers, is discussed. Explicit case studies are provided for the latter two scenarios, in which random effect models appear especially attractive as they can cope well with the large inter-individual variation which is typical for these biomarkers.

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BT - Trends in Mathematics

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