Table 5 Predicted probabilities of injury or death for drivers and passengers in varying farm crash scenarios using the model 3 estimated coefficients from Table 1
From: Public health application of predictive modeling: an example from farm vehicle crashes
The risk or injury or death in a farm crash in Iowa for a 25–34 year old, male, in growing season, clear weather, between 6:00–11:59 am, daylight, heading straight, passengers on board (for single vehicle crash, manner of collision = non collision; for multiple vehicle crash, manner of collision = rear end) | ||||
|---|---|---|---|---|
Vehicle/ occupant type | Seat belt | Driver contributing circumstances | Risk of injury or death (%) | |
Single vehicle crash | Multiple vehicle crash | |||
Farm vehicle driver | Yes | None | 16.7% | 7.3% |
Farm vehicle passenger | 17.8% | 7.8% | ||
Non-farm vehicle driver | Â | 28.7% | ||
Non-farm vehicle passenger | Â | 30.3% | ||
Farm vehicle driver | Yes | Disregarded traffic regulations | 22.2% | 10.1% |
Farm vehicle passenger | 23.6% | 10.8% | ||
Non-farm vehicle driver | Â | 36.4% | ||
Non-farm vehicle passenger | Â | 38.2% | ||
Farm vehicle driver | No | None | 39.8% | 20.6% |
Farm vehicle passenger | 41.6% | 21.8% | ||
Non-farm vehicle driver | Â | 57.0% | ||
Non-farm vehicle passenger | Â | 58.8% | ||
Farm vehicle driver | No | Disregarded traffic regulations | 48.5% | 26.9% |
Farm vehicle passenger | 50.4% | 28.4% | ||
Non-farm vehicle driver | Â | 65.3% | ||
Non-farm vehicle passenger | Â | 67.0% | ||