title: Predicting the lung cancer burden: Accounting for selection of the patients with respect to general population mortality.
abstract: Incidence, survival, prevalence and mortality are the elements of the cancer burden. The cancer burden is thus contributed by the same individuals from the diagnosis of cancer (incidence) until possible death from cancer (mortality). It would therefore be natural that predictions of future cancer burden, those needed by health administration, for example, could be based on individual data. This paper presents a new model for estimating future cancer burden, a model where individuals are followed from birth to death with or without a diagnosis of cancer. The model can formally be expressed as a summation of log-likelihoods of getting cancer and of surviving the cancer and other causes of death until death or censoring. The new model is illustrated with data of Finnish males with or without a diagnosis of lung cancer in calendar period 1987-1997. Incidence is modelled with a general age-cohort model with a drift and survival from cancer with a parametric mixture model. In a model for survival from other causes of death, selection of patients with respect to general population mortality is accounted for. Future cancer burden is illustrated with short-term predictions of prevalence and mortality.
authors.affiliation: Finnish Cancer Registry, Liisankatu 21 B, 00170 Helsinki, Finland. sirpa.heinavaara@cancer.fi
authors.forename: Sirpa
authors.initials: S
authors.lastname: Heinävaara
authors.forename: Timo
authors.initials: T
authors.lastname: Hakulinen
mesh_terms: D000328:Adult; D000368:Aged; D015331:Cohort Studies; D005387:Finland / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D008175:Lung Neoplasms / Q000453:epidemiology* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D015233:Models, Statistical; D015995:Prevalence; D016019:Survival Analysis