Age and stage specific prevalence estimate of cancer from population based Cancer Registry using inhomogeneous Poisson process

Abstract

A multi stage model is described for estimating the age and two stage specific prevalence of cancer. The disease evolution is considered as an inhomogeneous Poisson process in the Lexis diagram. Prevalences are estimated from the basic epidemiological measures (stage specific incidences and survivals). A piecewise constant hazard model is used to estimate the transition rates constructing a finite partition of age and, where it is the case, of duration. Moreover, variance calculations are described. An application to breast cancer in the Hérault (France) population is presented.

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