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The best-fitting model was defined as one that minimised the Akaike information criterion. Behavioral risk factors in breast cancer:
National Center for Biotechnology Information , U. Chou , 1, 6 and Y. The global breast cancer burden: The mortality rates, number of deaths and increased mortality rates for three age groups 20—44, 45—64 and 65—84 years during eight periods —75 to —10 are shown in Table I. Breast cancer has been the most common female cancer since
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Mortality of breast cancer in Taiwan, 1971–2010: Temporal changes and an age–period–cohort analysis

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International Journal of Epidemiology.
The optimal number of knots was selected by adding an increasing number of knots at subsequent quantiles for age, period and cohort, respectively. Our study showed a strong birth cohort effect on breast cancer mortality Figure 2. The authors alone are responsible for the content and writing of the paper. Interpretation of time trends in disease rates in the presence of generation effects. In the APC model, the cohort groups were calculated according to age and period groups. We only included breast cancer cases in women between the ages of 20 and 84 years. The percentage change in breast cancer mortality rate increased from
The current paper describes the age, period and cohort effects on breast cancer mortality in Taiwan. Female breast cancer mortality data were collected from the Taiwan death registries for — Looking for big breast today in taiwan annual percentage changes, age- standardised mortality rates ASMR and age—period—cohort model were calculated. The mortality rates increased with advancing age groups when fixing the period. The percentage change in the breast cancer mortality rate increased from The mortality rates in the 45—64 age group increased steadily from to and — The birth cohorts actual birth cohort; —55 showed peak mortalities in both the 50—54 and 45—49 age groups.
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