Estimation of cancer incidence and survival parameters from population-based registries. Data on white, black and hispanic race/ethnicity

Cancer prevalence is the proportion of people in a population diagnosed with cancer in the past and still alive. One way to estimate prevalence is via population-based registries, where data on diagnosis and life status of all incident cases occurring in the covered population are collected. In this paper some methods regarding the fitting of the incidence and survival models to data collected by the SEER9 and SEER11 registries in the United States on various cancer sites, various race/ethnicitiy categories and two sexes, are applied. Such estimates are then used to estimate complete prevalence, as described by Gigli (2001). Section 1 describes two survival models which will be fitted to the data, section 2 describes two incidence models, and finally section 3 makes brief comments on the results. The tables list the survival and incidence parameter estimates for each cancer site, sex, race/ethnicity and model implemented. Two further tables describe the survival parameter values for the white race/ethnicity estimated from the SEER9 and SEER11 registries in the period 1992--1998