| Article ID: | iaor20014050 |
| Country: | United Kingdom |
| Volume: | 11 |
| Issue: | 3 |
| Start Page Number: | 177 |
| End Page Number: | 187 |
| Publication Date: | Jul 2000 |
| Journal: | IMA Journal of Mathematics Applied in Business and Industry |
| Authors: | Tunaru Radu |
| Keywords: | accidents |
Governments and local authorities spend large sums of money collecting information about road accidents. Statistical models are applied to extract valuable information that can be subsequently used to design safety measures and safety policies. Two large subsets of data are explored using graphical modelling. It is shown how to overcome some difficulties due to the nature of road accident data and how to reduce the dimensionality of the analysis without having any problem with Simpson's paradox. This type of analysis is new in this area of research and specific problems are discussed.