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Bayesian Models for Multiple Outcomes Nested in Domains

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  • Sally W. Thurston
  • David Ruppert
  • Philip W. Davidson

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  • Sally W. Thurston & David Ruppert & Philip W. Davidson, 2009. "Bayesian Models for Multiple Outcomes Nested in Domains," Biometrics, The International Biometric Society, vol. 65(4), pages 1078-1086, December.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1078-1086
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01224.x
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    References listed on IDEAS

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    1. Sanchez, Brisa N. & Budtz-Jorgensen, Esben & Ryan, Louise M. & Hu, Howard, 2005. "Structural Equation Models: A Review With Applications to Environmental Epidemiology," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1443-1455, December.
    2. Xihong Lin & Louise Ryan & Mary Sammel & Daowen Zhang & Chantana Padungtod & Xiping Xu, 2000. "A Scaled Linear Mixed Model for Multiple Outcomes," Biometrics, The International Biometric Society, vol. 56(2), pages 593-601, June.
    3. D. B. Dunson, 2000. "Bayesian latent variable models for clustered mixed outcomes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 355-366.
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    Cited by:

    1. Amy LaLonde & Tanzy Love & Sally W. Thurston & Philip W. Davidson, 2020. "Discovering structure in multiple outcomes models for tests of childhood neurodevelopment," Biometrics, The International Biometric Society, vol. 76(3), pages 874-885, September.
    2. Lupparelli, Monia & Mattei, Alessandra, 2020. "Joint and marginal causal effects for binary non-independent outcomes," Journal of Multivariate Analysis, Elsevier, vol. 178(C).
    3. D. B. Woodard & T. M. T. Love & S. W. Thurston & D. Ruppert & S. Sathyanarayana & S. H. Swan, 2013. "Latent factor regression models for grouped outcomes," Biometrics, The International Biometric Society, vol. 69(3), pages 785-794, September.

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