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Inpatient length of stay: a finite mixture modeling analysis

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Author Info

  • Chungkham Singh

    ()

  • Laishram Ladusingh

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s10198-009-0153-6
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    Bibliographic Info

    Article provided by Springer in its journal The European Journal of Health Economics.

    Volume (Year): 11 (2010)
    Issue (Month): 2 (April)
    Pages: 119-126

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    Handle: RePEc:spr:eujhec:v:11:y:2010:i:2:p:119-126

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    Web page: http://link.springer.de/link/service/journals/10198/index.htm

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    Related research

    Keywords: Finite mixture modeling; Inpatient length of stay; Heterogeneity; C5;

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    References

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    1. Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.
    2. Yau, Kelvin K. W. & Lee, Andy H. & Ng, Angus S. K., 2003. "Finite mixture regression model with random effects: application to neonatal hospital length of stay," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 359-366, January.
    3. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
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    Cited by:
    1. Sara Dias & Valeska Andreozzi & Rosário Martins, 2013. "Analysis of HIV/AIDS DRG in Portugal: a hierarchical finite mixture model," The European Journal of Health Economics, Springer, vol. 14(5), pages 715-723, October.
    2. Engin Yilmaz & Denis Raynaud, 2013. "The influence of social deprivation on length of hospitalisation," The European Journal of Health Economics, Springer, vol. 14(2), pages 243-252, April.

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