Generalized monotonic functional mixed models with application to modelling normal tissue complications
Normal tissue complications are a common side effect of radiation therapy. They are the consequence of the dose of radiation that is received by the normal tissue surrounding the site of the tumour. Within a specified organ each voxel receives a certain dose of radiation, leading to a distribution of doses over the organ. It is often not known what aspect of the dose distribution drives the presence and severity of the complications. A summary measure of the dose distribution can be obtained by integrating a weighting function of dose ("w"("d")) over the density of dose. For biological reasons the weight function should be monotonic. We propose a generalized monotonic functional mixed model to study the dose effect on a clinical outcome by estimating this weight function non-parametrically by using splines and subject to the monotonicity constraint, while allowing for overdispersion and correlation of multiple obervations within the same subject. We illustrate our method with data from a head and neck cancer study in which the irradiation of the parotid gland results in loss of saliva flow. Copyright (c) 2008 Royal Statistical Society.
Year of publication: |
2008
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Authors: | Schipper, Matthew ; Taylor, Jeremy M. G. ; Lin, Xihong |
Published in: |
Journal of the Royal Statistical Society Series C. - Royal Statistical Society - RSS, ISSN 0035-9254. - Vol. 57.2008, 2, p. 149-163
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Publisher: |
Royal Statistical Society - RSS |
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