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The age-cohort model relied on the two extreme assumptions:
1) there was no period factor (no past reporting bias involved in the incidence trend) and
2) past variations in exposure to an unknown etiologic factor were involved in the incidence trend.
The age-cohort model indicated that a cohort factor increased over the first half of the 20th century (e.g., the incidence in the generation born in 1940 was almost twice that in the generation born in 1920).
This increase was probably an artifact due to the past under-ascertainment pattern.
However, from a statistical viewpoint, both models led to a satisfactory fit to the data. The cohort factor may appear as relevant as the period factor in describing the incidence trends.