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A number of different statistical models have been developed and used to project future cancer mortality rates, ranging from a simple assumption of a constant cancer mortality rate to more complex methods such as age-period-cohort (APC) models, and extended methods that account for changes in exposure to risk factors.8 To project lung cancer mortality rates, we have previously validated a generalised linear model (GLM), which included tobacco consumption as a covariate.3 This method may also be applied to other cancers with an established association with cigarette smoking

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