In addition to characterizing the state of the population, For instance, when performing the economic evaluations of cancer control interventions, POHEM typically uses a simulation sample size of one million individuals and draws together information on risk factors, disease incidence by age, gender and cell-type, stage distribution at the time of diagnosis, and the ‘standard’ or typical diagnostic and therapeutic approaches used. Moreover, data on disease progression after initial diagnosis (depending upon age, gender and stage at diagnosis) are required, in addition to follow-up patterns of practice, treatment at relapse, and terminal care. Therefore 23 different datasets are used which include various cancer registries and hospital registries, data from pharmaceutical associations, population health surveys, screening studies and clinical trials, etc. (