摘要：Our aim is to develop a method for helping resources re-allocation in healthcare linked to cancer, in order to replan the allocation of providers.Ageing of the population has a considerable impact on the use of health resources because aged people require more specialised medical care due notably to cancer.We propose a method useful to monitor changes of cancer incidence in space and time taking into account two age categories, according to healthcar general organisation.We use generalised additive mixed models with a Poisson response, according to the methodology presented in Wood, Generalised additive models: an introduction with R.Chapman and Hall/CRC, 2006.Besides one-dimensional smooth functions accounting for non-linear effects of covariates, the space-time interaction can be modelled using scale invariant smoothers.Incidence data collected by a general cancer registry between 1992 and 2007 in a specific area of France is studied.Our best model exhibits a strong increase of the incidence of cancer along time and an obvious spatial pattern for people more than 70 years with a higher incidence in the central band of the region.This is a strong argument for re-allocating resources for old people cancer care in this sub-region.
