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Random effects in ordinal regression models

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  • Tutz, Gerhard
  • Hennevogl, Wolfgang

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  • Tutz, Gerhard & Hennevogl, Wolfgang, 1996. "Random effects in ordinal regression models," Computational Statistics & Data Analysis, Elsevier, vol. 22(5), pages 537-557, September.
    • Handle: RePEc:eee:csdana:v:22:y:1996:i:5:p:537-557
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    References listed on IDEAS

    as
    1. J. Jansen, 1990. "On the Statistical Analysis of Ordinal Data When Extravariation is Present," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(1), pages 75-84, March.
    2. S. Im & D. Gianola, 1988. "Mixed Models for Binomial Data with an Application to Lamb Mortality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(2), pages 196-204, June.
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    Cited by:

    1. Hartzel, Jonathan & Liu, I-Ming & Agresti, Alan, 2001. "Describing heterogeneous effects in stratified ordinal contingency tables, with application to multi-center clinical trials," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 429-449, February.
    2. Z. Rezaei Ghahroodi & M. Ganjali, 2013. "A Bayesian approach for analysing longitudinal nominal outcomes using random coefficients transitional generalized logit model: an application to the labour force survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(7), pages 1425-1445, July.
    3. Yumei Li & Xiangbin Yan, 2020. "How Could Peers in Online Health Community Help Improve Health Behavior," IJERPH, MDPI, vol. 17(9), pages 1-17, April.
    4. Li, Yonghai & Schafer, Daniel W., 2008. "Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3474-3492, March.
    5. Simone, Rosaria & Tutz, Gerhard & Iannario, Maria, 2020. "Subjective heterogeneity in response attitude for multivariate ordinal outcomes," Econometrics and Statistics, Elsevier, vol. 14(C), pages 145-158.
    6. Nasim Vahabi & Anoshirvan Kazemnejad & Somnath Datta, 2018. "A Marginalized Overdispersed Location Scale Model for Clustered Ordinal Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 103-134, December.
    7. Brajendra C. Sutradhar & Asokan M. Variyath, 2020. "A New Look at the Models for Ordinal Categorical Data Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(1), pages 111-141, May.
    8. S. Noorian & M. Ganjali & E. Bahrami Samani, 2016. "A Bayesian test of homogeneity of association parameter using transition modelling of longitudinal mixed responses," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1850-1863, August.
    9. Paul S. Albert, 2007. "Random Effects Modeling Approaches for Estimating ROC Curves from Repeated Ordinal Tests without a Gold Standard," Biometrics, The International Biometric Society, vol. 63(2), pages 593-602, June.
    10. Kaiser, Ulrich & Szczesny, Andrea, 2000. "Einfache ökonometrische Verfahren für die Kreditrisikomessung," CoFE Discussion Papers 00/28, University of Konstanz, Center of Finance and Econometrics (CoFE).
    11. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
    12. Janeiro, Pedro & Proença, Isabel & Gonçalves, Vítor da Conceição, 2013. "Open innovation: Factors explaining universities as service firm innovation sources," Journal of Business Research, Elsevier, vol. 66(10), pages 2017-2023.
    13. Emilie Beauchamp & Tom Clements & E. J. Milner-Gulland, 2019. "Investigating Perceptions of Land Issues in a Threatened Landscape in Northern Cambodia," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    14. Bürgin, Reto & Ritschard, Gilbert, 2015. "Tree-based varying coefficient regression for longitudinal ordinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 65-80.
    15. Nuno Sousa & João Monteiro & Eduardo Natividade-Jesus & João Coutinho-Rodrigues, 2023. "The impact of geometric and land use elements on the perceived pleasantness of urban layouts," Environment and Planning B, , vol. 50(3), pages 740-756, March.
    16. Ulrich Kaiser & Andrea Szczesny, 2003. "Ökonometrische Verfahren zur Modellierung von Kreditausfallwahrscheinlichkeiten: Logit- und Probit-Modelle," Schmalenbach Journal of Business Research, Springer, vol. 55(8), pages 790-822, December.
    17. Bach-Mortensen, Anders Malthe & Goodair, Benjamin & Barlow, Jane, 2022. "Outsourcing and children's social care: A longitudinal analysis of inspection outcomes among English children's homes and local authorities," Social Science & Medicine, Elsevier, vol. 313(C).
    18. Verwaeren, Jan & Waegeman, Willem & De Baets, Bernard, 2012. "Learning partial ordinal class memberships with kernel-based proportional odds models," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 928-942.
    19. Tutz, Gerhard, 2004. "Generalized semiparametrically structured mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 777-800, July.
    20. Michael Niño & Tianji Cai & Gabe Ignatow & Philip Yang, 2017. "Generational Peers and Alcohol Misuse," International Migration Review, Wiley Blackwell, vol. 51(1), pages 67-96, March.
    21. Simon Frey & Roland Linder & Georg Juckel & Tom Stargardt, 2014. "Cost-effectiveness of long-acting injectable risperidone versus flupentixol decanoate in the treatment of schizophrenia: a Markov model parameterized using administrative data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(2), pages 133-142, March.

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