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Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data

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  • Guillermo Marshall
  • Rolando De la Cruz-Mesía
  • Fernando A. Quintana
  • Anna E. Barón

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  • Guillermo Marshall & Rolando De la Cruz-Mesía & Fernando A. Quintana & Anna E. Barón, 2009. "Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data," Biometrics, The International Biometric Society, vol. 65(1), pages 69-80, March.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:1:p:69-80
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01016.x
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    References listed on IDEAS

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    1. Larry J. Brant & Shan L. Sheng & Christopher H. Morrell & Geert N. Verbeke & Emmanuel Lesaffre & H. Ballentine Carter, 2003. "Screening for prostate cancer by using random‐effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 51-62, February.
    2. Daniel B. Hall & Michael Clutter, 2004. "Multivariate Multilevel Nonlinear Mixed Effects Models for Timber Yield Predictions," Biometrics, The International Biometric Society, vol. 60(1), pages 16-24, March.
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    Cited by:

    1. Yuan Wang & Brian P. Hobbs & Jianhua Hu & Chaan S. Ng & Kim‐Anh Do, 2015. "Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging," Biometrics, The International Biometric Society, vol. 71(3), pages 792-802, September.
    2. Wan-Lun Wang, 2019. "Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 196-222, March.

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