Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study

Summary We explore models for the natural history of breast cancer, where the main events of interest are the start of asymptomatic detectability of the disease (through screening) and the time of symptomatic detection (through symptoms). We develop several parametric specifications based on a cure...

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