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The probability of fatality is calculated by a classical load-resistance model based on reliability (survivability) theory.
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Case fatality was calculated at 90 and 365 days after first diagnosis of pancreatitis.
Hospitalized 30-day case fatality was calculated using the total number of hospitalized AMIs as the denominator, and the number of fatal hospitalized AMIs as the numerator.
Overall 30-day case fatality was calculated using the total number of all AMI events as the denominator, and all fatal AMI events as the numerator.
Case fatality was calculated for each time period, and records were expanded into person months at risk (pm), by time from starting TB treatment, to calculate mortality rates per 100 pm with 95% CI.
The impact of the system in number of fatalities was calculated by multiplying the overall effect expressed as a percentage of all road fatalities that will be saved or created by the total number of all road fatalities.
The hospital data was used to investigate trends in poisoning admissions, and case-fatality was calculated using information on live discharges and in-hospital deaths.
After the exclusions described above, 28-day case fatalities were calculated by age group, sex, year, grouped Charlson index, and acute or inpatient hemorrhage.
Fatality counts over which there are discrepancies can be used as a simple measure of data uncertainty, providing insight into the extent of these misreporting issues; for each fatal incident, the average of each of the fatality counts is calculated and the percentage departure from this average evaluated for each source's fatality estimate.
Case fatality rate is calculated by dividing the number of deaths from a specified disease over a defined period of time by the number of individuals diagnosed with the disease during that time; the resulting ratio is then multiplied by 100 to yield a percentage.
The number of measles cases averted is calculated by dividing the number of deaths averted by the case fatality rate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com