Generalized monotonic functional mixed models with application to modelling normal tissue complications

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Summary. 

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.

Keywords: Dose effect; Functional data; Monotonicity; Non-parametric regression; Normal tissue complications; Overdispersion; Splines

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-9876.2007.00606.x

Affiliations: 1: Innovative Analytics, Kalamazoo, USA 2: University of Michigan, Ann Arbor, USA 3: Harvard School of Public Health, Boston, USA

Publication date: April 1, 2008

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more