Canadian Journal of Statistics

Modeling heteroscedastic age‐period‐cohort cancer data

Journal Article

Abstract

The extent to which cancer will be a burden on the Canadian health‐care system will be determined by future cancer rates and future population levels in the high‐risk age groups. Parametric models of incidence and mortality rates for various cancers may be used to obtain medium‐term forecasts of rates, which then can be used in conjunction with population projections to obtain forecasts of total incidence and mortality. Age‐period‐cohort cancer data often exhibit marked heteroscedasticity, which complicates the modeling of the data. Methods to allow for the effects of this heteroscedasticity on residual processes are developed and discussed in the context of modeling Canadian female breast‐cancer incidence data.

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