Sentence examples for multiplying the age from inspiring English sources

Multiplying the age- and sex-specific prevalence estimates by counts of US populations in each category produced the total number of cases in each category.

Expected numbers of cancers were calculated by multiplying the age, gender and calendar-year-specific risk time by the corresponding cancer incidence rates of the general Swedish population.

We calculated the number of CHD deaths expected in 2010 by indirect standardisation, multiplying the age, sex, and Scottish Index of Multiple Deprivation fifth specific mortality rates from CHD in 2000 by the relevant population counts for 2010.

The expected number of malignant breast tumour cases was calculated by multiplying the age- and period-specific incidence rate for the Norwegian female population with the observed number of woman-years at risk in the cohort.

To quantify the effect of our assessed risk factors, we estimated the age specific absolute rate of zoster for each factor by multiplying the age specific effect estimates by the age specific rate of zoster in the general population in 2010.

The expected distribution of deaths was calculated by multiplying the age-specific death risk with the probability of being alive at that age.

Age-specific estimates of new cases and deaths at each stratum were obtained by multiplying the age-specific incidence and mortality with the corresponding populations.

The expected distribution of first hospital admissions was calculated by multiplying the age-specific risk of being admitted to the hospital with the probability of being free of hospitalisation at that age.

The expected number of cancers was estimated by multiplying the age-, sex-, and calendar year-specific rates from the Swedish Cancer Registry by the accumulated person years at risk.

Fracture probabilities for women with osteoporosis were derived by multiplying the age-dependent female general fracture probabilities with age and fracture specific relative risks for women with osteoporosis compared to the female general population (RROST).

We calculated SIRs for each of the six counties neighboring the study region, deriving the expected numbers of cases by multiplying the age-specific population counts for each county by German annual childhood leukemia incidence rates.