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Bridging Conditional and Marginal Inference for Spatially Referenced Binary Data

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  • Laura Boehm
  • Brian J. Reich
  • Dipankar Bandyopadhyay

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  • Laura Boehm & Brian J. Reich & Dipankar Bandyopadhyay, 2013. "Bridging Conditional and Marginal Inference for Spatially Referenced Binary Data," Biometrics, The International Biometric Society, vol. 69(2), pages 545-554, June.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:2:p:545-554
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    References listed on IDEAS

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    1. Zengri Wang, 2003. "Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function," Biometrika, Biometrika Trust, vol. 90(4), pages 765-775, December.
    2. Reich, Brian J. & Hodges, James S. & Carlin, Bradley P., 2007. "Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 44-55, March.
    3. Patrick J. Heagerty, 1999. "Marginally Specified Logistic-Normal Models for Longitudinal Binary Data," Biometrics, The International Biometric Society, vol. 55(3), pages 688-698, September.
    4. Zengri Wang & Thomas A. Louis, 2004. "Marginalized Binary Mixed-Effects Models with Covariate-Dependent Random Effects and Likelihood Inference," Biometrics, The International Biometric Society, vol. 60(4), pages 884-891, December.
    5. Lanjia Lin & Dipankar Bandyopadhyay & Stuart R. Lipsitz & Debajyoti Sinha, 2010. "Association Models for Clustered Data with Binary and Continuous Responses," Biometrics, The International Biometric Society, vol. 66(1), pages 287-293, March.
    6. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    7. Xiaoyun Li & Dipankar Bandyopadhyay & Stuart Lipsitz & Debajyoti Sinha, 2011. "Likelihood Methods for Binary Responses of Present Components in a Cluster," Biometrics, The International Biometric Society, vol. 67(2), pages 629-635, June.
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    Cited by:

    1. Iraj Kazemi & Fatemeh Hassanzadeh, 2021. "Marginalized random-effects models for clustered binomial data through innovative link functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 197-228, June.
    2. Victor De Oliveira, 2017. "Geostatistical Binary Data: Models, Properties And Connections," Working Papers 0151mss, College of Business, University of Texas at San Antonio.
    3. Dipankar Bandyopadhyay & Antonio Canale, 2016. "Non-parametric spatial models for clustered ordered periodontal data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 619-640, August.

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