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Prediction of Functional Status for the Elderly Based on a New Ordinal Regression Model

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  • Hong, Hyokyoung Grace
  • He, Xuming

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  • Hong, Hyokyoung Grace & He, Xuming, 2010. "Prediction of Functional Status for the Elderly Based on a New Ordinal Regression Model," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 930-941.
    • Handle: RePEc:bes:jnlasa:v:105:i:491:y:2010:p:930-941
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    Cited by:

    1. Liu, Dungang & Li, Shaobo & Yu, Yan & Moustaki, Irini, 2020. "Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing," LSE Research Online Documents on Economics 105558, London School of Economics and Political Science, LSE Library.
    2. Alhamzawi, Rahim, 2016. "Bayesian model selection in ordinal quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 68-78.
    3. Hyokyoung Grace Hong & Jianhui Zhou, 2013. "A multi-index model for quantile regression with ordinal data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(6), pages 1231-1245, June.
    4. Grace Hong, Hyokyoung, 2013. "A quantile approach to the power transformed location–scale model," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 50-62.
    5. Yukiko Omata & Hajime Katayama & Toshi. H. Arimura, 2017. "Same concerns, same responses? A Bayesian quantile regression analysis of the determinants for supporting nuclear power generation in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 581-608, July.

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