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A Framework for the Joint Modeling of Longitudinal Diagnostic Outcome Data and Latent Infection Status: Application to Investigating the Temporal Relationship between Infection and Disease

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  • G. Jones
  • W. O. Johnson
  • W. D. Vink
  • N. French

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  • G. Jones & W. O. Johnson & W. D. Vink & N. French, 2012. "A Framework for the Joint Modeling of Longitudinal Diagnostic Outcome Data and Latent Infection Status: Application to Investigating the Temporal Relationship between Infection and Disease," Biometrics, The International Biometric Society, vol. 68(2), pages 371-379, June.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:2:p:371-379
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01687.x
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    References listed on IDEAS

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    1. Richard J. Cook & Edmund T. M. Ng & Maureen O. Meade, 2000. "Estimation of Operating Characteristics for Dependent Diagnostic Tests Based on Latent Markov Models," Biometrics, The International Biometric Society, vol. 56(4), pages 1109-1117, December.
    2. Geoffrey Jones & Wesley O. Johnson & Timothy E. Hanson & Ronald Christensen, 2010. "Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard," Biometrics, The International Biometric Society, vol. 66(3), pages 855-863, September.
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    Cited by:

    1. Wang, Zheyu & Sebestyen, Krisztian & Monsell, Sarah E., 2017. "Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 125-135.

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