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To calculate the age-standardized mortality rate (ASMR), we must first calculate the age-specific (mortality) rates for each age group by dividing the number of deaths by the respective population, and then multiplying the resulting number by 100,000: Age-specific rate, 0 to 39 years.
To calculate the age-standardized mortality rate (ASMR), we must first calculate the age-specific (mortality) rates for each age group by dividing the number of deaths by the respective population, and then multiplying the resulting number by 100,000: Age-specific rate, 0 to 39 years.
Multiply the number of people in each age group of the population(s) of interest in the age-specific mortality rate in the comparable age group of the reference population. Sum the total number of expected deaths for each population of interest.
The standardization by age occurs most often because the information is usually available and the age is important for the most health problems. Use: Age standardization based on a standard population are often used at cancer registries to compare morbidity or mortality rates.
An age-standardised rate (ASR) is a summary measure of the rate that a population would have if it had a standard age structure. Standardization is necessary when comparing several populations that differ with respect to age because age has a powerful influence on the risk of dying from cancer.
An alternate way to compute the age-adjusted death rate by the direct method is simply to multiply the age- specific death rates by the corresponding proportion of the standard population in that age group and then sum these products across all 10 age groups.
Definition. The age-standardized mortality rate is a weighted average of the age-specific mortality rates per 100,000 persons, where the weights are the proportions of persons in the corresponding age groups of the WHO standard population. Associated terms. None.
Age standardization, sometimes referred to as age adjustment, is a method that applies observed age-specific rates to a standard age distribution. It is used when comparing two or more populations at one point in time, or one population at two or more points in time.
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