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Hospital cancer registries can be a reliable source for comparative effectiveness research. We used an expanded Markov model to estimate breast cancer prevalence for a distinct region in Germany. Thereby, transition probabilities were computed with patient information gained directly from the dataset. A first validation was executed by comparing the results with numbers obtained by another prevalence estimation technique.

Leveraging Markov Models to Compute Prevalence Estimates for a Regional Breast Cancer Registry