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Modeling and Analysis of Cost Data

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Methods in Health Services Research

Part of the book series: Health Services Research ((HEALTHSR))

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Abstract

Cost has become an important outcome in health services research. It can be used not only as a measure for health care spending but also as a measure for a part of health care value. Given ever-increasing rising health care expenditure, the value of health care should include not only traditional measures, such as mortality and morbidity, but also the cost of health care. Due to a limited resource, a new treatment with a slightly better efficacy but much higher cost than an existing treatment may not be a choice of a treatment for a patient. Hence, it is important to be able to approximately analyze cost data. However, appropriately analyzing health care costs may be hindered by special distribution features of cost data, including skewness, zero values, clusters, heteroscedasticity, and multimodality.

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Author information

Authors and Affiliations

  1. Department of Biostatistics, University of Washington, Seattle, WA, USA

    Shizhe Chen

  2. Beijing International Center for Mathematical Research, Peking University, Beijing, China

    XH Andrew Zhou

  3. VA Puget Sound Healthcare System, University of Washington, 1100 Olive Way Met Park West #1400, Seattle, WA, 98101, USA

    XH Andrew Zhou

Authors
  1. Shizhe Chen
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  2. XH Andrew Zhou
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Correspondence to XH Andrew Zhou .

Editor information

Editors and Affiliations

  1. University of British Columbia Dept. Health Care & Epidemiology, Vancouver, British Columbia, Canada

    Boris Sobolev

  2. Center for Statistical Sciences, Brown University Center for Statistical Sciences, PROVIDENCE, Rhode Island, USA

    Constantine Gatsonis

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Chen, S., Zhou, X.A. (2017). Modeling and Analysis of Cost Data. In: Sobolev, B., Gatsonis, C. (eds) Methods in Health Services Research. Health Services Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6704-9_3-1

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  • DOI: https://doi.org/10.1007/978-1-4939-6704-9_3-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-6704-9

  • Online ISBN: 978-1-4939-6704-9

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