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Activity Number:
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105
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #306201 |
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Title:
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Joint Modeling of Quality of Life and Disease Progression
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Author(s):
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Rebecca Hubbard*+ and Lurdes Y. T. Inoue
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Companies:
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University of Washington and University of Washington
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Address:
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4510 3rd Ave., NW, Seattle, WA, 98107,
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Keywords:
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quality of life ; disease progression ; continuous time Markov model
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Abstract:
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In the study of chronic disease, quality of life and disease progression may be monitored longitudinally to describe patients' disease experience. Understanding the temporal course of the disease and its relationship with the individual's well being is important in choosing treatment options that would, for example, slow disease progression while producing outcomes most satisfactory to the patient. We propose a model in which quality of life depends on patient's current disease state which in turn evolutes according to a continuous time discrete state Markov model. We examine the properties of estimators for transition rates and parameters describing the quality of life/disease relationship based on this model. We also investigate extensions to the inhomogeneous Markov model for disease progression. We apply our model to data on patients undergoing hematopoietic stem cell transplant.
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