Rights statement: This is the peer reviewed version of the following article: Grell, K., Diggle, P. J., Frederiksen, K., Schüz, J., Cardis, E., and Andersen, P. K. (2015) A three-dimensional point process model for the spatial distribution of disease occurrence in relation to an exposure source. Statist. Med., 34: 3170–3180. doi: 10.1002/sim.6538 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/sim.6538/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
| <mark>Journal publication date</mark> | 15/10/2015 |
|---|---|
| <mark>Journal</mark> | Statistics in Medicine |
| Issue number | 23 |
| Volume | 34 |
| Number of pages | 11 |
| Pages (from-to) | 3170-3180 |
| Publication Status | Published |
| Early online date | 26/05/15 |
| <mark>Original language</mark> | English |
We study methods for how to include the spatial distribution of tumours when investigating the relation between brain tumours and the exposure from radio frequency electromagnetic fields caused by mobile phone use. Our suggested point process model is adapted from studies investigating spatial aggregation of a disease around a source of potential hazard in environmental epidemiology, where now the source is the preferred ear of each phone user. In this context, the spatial distribution is a distribution over a sample of patients rather than over multiple disease cases within one geographical area. We show how the distance relation between tumour and phone can be modelled nonparametrically and, with various parametric functions, how covariates can be included in the model and how to test for the effect of distance. To illustrate the models, we apply them to a subset of the data from the Interphone Study, a large multinational case-control study on the association between brain tumours and mobile phone use.