Estimation and projections of cancer prevalence from cancer registry data.

  title={Estimation and projections of cancer prevalence from cancer registry data.},
  author={Arduino Verdecchia and Giovanni De Angelis and Riccardo Capocaccia},
  journal={Statistics in medicine},
  volume={21 22},
A method, PIAMOD (Prevalence, Incidence, Analysis MODel), which allows the estimation and projection of cancer prevalence patterns by using cancer registry incidence and survival data is presented. As a first step the method involves the fit of incidence data by an age, period and cohort model to derive incidence projections. Prevalence is then estimated from modelled incidence and survival estimates. Cancer mortality is derived as a third step from modelled incidence, prevalence and survival… CONTINUE READING

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