A systematic review of Bayesian spatial –temporal models on cancer incidence and mortality

ConclusionsFew studies (4) modelled patient-level clinical characteristics (11%), and the applications of an FB approach in the forecasting of spatial –temporally aligned cancer data were limited. This review highlighted the need for Bayesian spatial-temporal models to incorporate patient-level prognostic characteristics through the multi-level framework and forecast future cancer incidence and outcomes for cancer prevention and control strategi es.
Source: International Journal of Public Health - Category: International Medicine & Public Health Source Type: research