Age adjustment, also known as age standardization, is a statistical technique used to allow for fair comparisons of health-related data across different populations that have varying age distributions. It is particularly useful in epidemiology and public health to analyze rates of events (such as disease incidence, mortality, etc.) when age is a significant risk factor. The basic idea of age adjustment is to remove the influence of age from the data being analyzed so that differences in rates are due to other factors rather than age composition.

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