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Furthermore, we used regression analysis to control for age and sex when analyzing factors related to fatality and time of hospitalization.
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Volcanic areas are prone to cascading hazards where one hazard triggers the occurrence of another, and indirect fatalities can be extensive in area affected, numbers of fatalities and time after eruption.
Age-specific case fatality rates and time preferences were applied to both models, and competing mortality risks were incorporated into the Markov model.
Evaluation criteria were the correlation between scoring results and disease outcomes, the predictive accuracy of the scoring in terms of fatality and remaining time until death and its sensitivity in comparison to common invasive laboratory markers.
One nationally representative study found that bicyclists had 2.3 times as many fatalities and 1.8 times as many nonfatal injuries as motor vehicle occupants per 100 million person-trips [ 1].
The generation of the scenarios considered three fundamental variables for the trip in question: Cost ; Risk (fatalities per year); and Time (minutes).
Full as well as observation-restricted scoring, reliably predicted fatality and the remaining time until death.
These models incorporate the factors of age-specific case fatality rates, competing risks and time preference.
These models incorporate age-specific case fatality rates, competing risks and time preference.
In examining the use of CVD risk for young versus old patients, we have only addressed the issues of age-specific case fatality rates, competing risks and time preference.
When case fatality rates, competing risks and time preference are taken into account, there appears to be minimal differences in the potential life years lost from experiencing a CVD event among patients of different ages but the same short-term cardiovascular risk.
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