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Created page with "100px|frameless|right|link=ICRP Glossary A statistical model that expresses the frequency of an effect (e.g., disease, death, or abnormality) as t..."
[[File:Glossary Icon-2.png|100px|frameless|right|link=ICRP Glossary]]
A statistical model that expresses the frequency of an effect (e.g., disease, death, or abnormality) as the sum of two components, one proportional to dose (linear term) and the other one proportional to the square of dose (quadratic term).
'''Return to [[ICRP Glossary|Glossary]]'''
== Previous glossary entries ==
=== from [[ICRP Publication 131]], 2015 ===
A statistical model that expresses the risk of an effect E (e.g. disease, death, or abnormality) as the sum of two components: one proportional to dose (linear term) and the other proportional to the square of dose (quadratic term).
E=αD+βD<sup>2</sup>, where D is dose. For cell survival: S =exp-(αD+βD<sup>2</sup>).
=== from [[ICRP Publication 103]], 2007 & from [[ICRP Publication 118]], 2012 ===
A statistical model that expresses the risk of an effect (e.g., disease, death, or abnormality) as the sum of two components, one proportional to dose (linear term) and the other one proportional to the square of dose (quadratic term).
A statistical model that expresses the frequency of an effect (e.g., disease, death, or abnormality) as the sum of two components, one proportional to dose (linear term) and the other one proportional to the square of dose (quadratic term).
'''Return to [[ICRP Glossary|Glossary]]'''
== Previous glossary entries ==
=== from [[ICRP Publication 131]], 2015 ===
A statistical model that expresses the risk of an effect E (e.g. disease, death, or abnormality) as the sum of two components: one proportional to dose (linear term) and the other proportional to the square of dose (quadratic term).
E=αD+βD<sup>2</sup>, where D is dose. For cell survival: S =exp-(αD+βD<sup>2</sup>).
=== from [[ICRP Publication 103]], 2007 & from [[ICRP Publication 118]], 2012 ===
A statistical model that expresses the risk of an effect (e.g., disease, death, or abnormality) as the sum of two components, one proportional to dose (linear term) and the other one proportional to the square of dose (quadratic term).
