Abstract
This manuscript was motivated by the need to adequately model and predict the distribution of blood stem cells collected from cancer patients. These blood stem cells are collected from patients over multiple days prior to their undergoing high-dose chemoradiotherapy as a treatment for cancer. The blood stem cells are returned to the patient after the high-dose chemoradiotherapy in order to enable permanent reconstitution of the white blood cell components and the patient’s healthy blood system. Maximizing the number of blood stem cells collected in as few aphereses as possible is desirable. We use population models to model these collections and to design optimal apheresis schedules to collect blood stem cells from cancer patients.
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Palmer, J.L., Müller, P. (1999). Population Models for Hematologic Data. In: Gatsonis, C., et al. Case Studies in Bayesian Statistics. Lecture Notes in Statistics, vol 140. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1502-8_10
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DOI: https://doi.org/10.1007/978-1-4612-1502-8_10
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