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Generalized Semiparametrically Structured Ordinal Models

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  • Gerhard Tutz

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  • Gerhard Tutz, 2003. "Generalized Semiparametrically Structured Ordinal Models," Biometrics, The International Biometric Society, vol. 59(2), pages 263-273, June.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:2:p:263-273
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00033
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    References listed on IDEAS

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    1. Helen Parise & M. P. Wand & David Ruppert & Louise Ryan, 2001. "Incorporation of historical controls using semiparametric mixed models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(1), pages 31-42.
    2. James H. Albert & Siddhartha Chib, 2001. "Sequential Ordinal Modeling with Applications to Survival Data," Biometrics, The International Biometric Society, vol. 57(3), pages 829-836, September.
    3. M. P. Wand, 2003. "Smoothing and mixed models," Computational Statistics, Springer, vol. 18(2), pages 223-249, July.
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    Cited by:

    1. Gerhard Tutz & Moritz Berger, 2022. "Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches," International Statistical Review, International Statistical Institute, vol. 90(2), pages 306-327, August.
    2. Rasheed A. Adeyemi & Temesgen Zewotir & Shaun Ramroop, 2016. "Semiparametric Multinomial Ordinal Model to Analyze Spatial Patterns of Child Birth Weight in Nigeria," IJERPH, MDPI, vol. 13(11), pages 1-22, November.
    3. Kazembe, Lawrence N., 2020. "Women empowerment in Namibia: Measurement, determinants and geographical disparities," World Development Perspectives, Elsevier, vol. 19(C).

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