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Population Models for Hematologic Data

  • J. Lynn Palmer
  • Peter Müller
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 140)

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.

Keywords

Population Model Blood Stem Cell Peripheral Blood Stem Cell Optimal Design Problem Future Patient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • J. Lynn Palmer
  • Peter Müller

There are no affiliations available

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