Abstract
We previously showed that infectious exposures may be involved in the aetiology of adult glioma, by analysing for space-time clustering using population-based data from the South of the Netherlands. Here we extended these analyses and describe in detail the space-time clustering patterns in glioma subgroups, gender and age-categories. Knox tests for space-time interactions between cases were applied with fixed thresholds of close in space,
| Original language | English |
|---|---|
| Pages (from-to) | 197-201 |
| Number of pages | 4 |
| Journal | European journal of epidemiology |
| Volume | 21 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2006 |
Keywords
- Aetiology
- Glioma
- Infection
- Space-time clustering