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The need for psychiatric care in England: a spatial factor methodology

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  • Peter Congdon

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    File URL: http://hdl.handle.net/10.1007/s10109-008-0064-6
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Geographical Systems.

    Volume (Year): 10 (2008)
    Issue (Month): 3 (September)
    Pages: 217-239

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    Handle: RePEc:kap:jgeosy:v:10:y:2008:i:3:p:217-239

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    Web page: http://www.springerlink.com/link.asp?id=103079

    Related research

    Keywords: Health need; Latent constructs; Spatial; Mental illness; Deprivation; Fragmentation; Bayesian; I10; I18; C11; C21; C51;

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    References

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    1. Julian Besag & Jeremy York & Annie MolliƩ, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer, vol. 43(1), pages 1-20, March.
    2. Yitzhaki, Shlomo, 1979. "Relative Deprivation and the Gini Coefficient," The Quarterly Journal of Economics, MIT Press, vol. 93(2), pages 321-24, May.
    3. Tutz, Gerhard & Kauermann, Goran, 2003. "Generalized linear random effects models with varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 43(1), pages 13-28, May.
    4. Leonhard Knorr-Held & Nicola G. Best, 2001. "A shared component model for detecting joint and selective clustering of two diseases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(1), pages 73-85.
    5. Moscone, Francesco & Knapp, Martin & Tosetti, Elisa, 2007. "Mental health expenditure in England: A spatial panel approach," Journal of Health Economics, Elsevier, vol. 26(4), pages 842-864, July.
    6. Song, J.J. & Ghosh, M. & Miaou, S. & Mallick, B., 2006. "Bayesian multivariate spatial models for roadway traffic crash mapping," Journal of Multivariate Analysis, Elsevier, vol. 97(1), pages 246-273, January.
    7. Hogan J.W. & Tchernis R., 2004. "Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 314-324, January.
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