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1. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation
University essay from KTH/Matematisk statistikAbstract : Natural history models for breast cancer describe the unobservable disease progression. These models can either be fitted using likelihood-based estimation to data on individual tumour characteristics, or calibrated to fit statistics at a population level. READ MORE
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