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Leveraging Markov Models to Compute Prevalence Estimates for a Regional Breast Cancer Registry
Monika Pobiruchin, Meinhard Kieser, Wendelin Schramm
237 - 239
10.3233/978-1-61499-276-9-237
Studies in Health Technology and Informatics
Volume 190: Informatics, Management and Technology in Healthcare
Abstract

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.

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