Sentence examples for probabilities of suffering from inspiring English sources

On the basis of these capacities, the probabilities of suffering a VTE event with or without thrombophilia were calculated with TiC or SM.

Calibration plots were constructed by first grouping respondents into categories based on the model-based predicted probabilities of suffering from regular dizziness at the end of follow-up.

The formula provides a means of estimating someone's probability of suffering a hip fracture or major osteoporotic fracture within 10 years, providing numbers that doctors and patients can understand.

The key message ESG investors convey to tech executives is that companies that are better at better managing privacy risks have a lower probability of suffering incidents that can meaningfully impact their share price.

Most disturbing of all, he was told that, according to the Framingham Risk Index, which predicts the probability of suffering from heart disease based on cholesterol, blood pressure, weight, stress and exercise levels, he ran a more than one in nine chance - 11.8percentto to be exact - of suffering a heart attack in the next six years.

For male drivers, the probability of suffering minor injuries are 0.46 less compared to female drivers.

For the probability of suffering a fracture, however, there was no gender-specific preference.

For headache patients, the probability of suffering from GAD is about five times higher and the probability of suffering from PD is about three times higher than for the general population.

This result suggests that farmers who perceive a higher probability of suffering future crop damages are more likely to uptake the insurance.

One percent change in driver age will cause an average increase of 0.297 in the probability of suffering a fatal/major injury and 0.121 increases in the probability of having minor injuries.

Therefore, while reducing price risk, the acquisition of forward contracts to sell the electricity generated by a power producer increases the probability of suffering financial losses due to unexpected unit shutdowns.