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Combining Complete Multivariate Outcomes with Incomplete Covariate Information: A Latent Class Approach

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  • Qian-Li Xue
  • Karen Bandeen-Roche

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  • Qian-Li Xue & Karen Bandeen-Roche, 2002. "Combining Complete Multivariate Outcomes with Incomplete Covariate Information: A Latent Class Approach," Biometrics, The International Biometric Society, vol. 58(1), pages 110-120, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:110-120
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00110.x
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    References listed on IDEAS

    as
    1. Nishii, R., 1988. "Maximum likelihood principle and model selection when the true model is unspecified," Journal of Multivariate Analysis, Elsevier, vol. 27(2), pages 392-403, November.
    2. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    3. Richard McHugh, 1956. "Efficient estimation and local identification in latent class analysis," Psychometrika, Springer;The Psychometric Society, vol. 21(4), pages 331-347, December.
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    Cited by:

    1. Bakk, Zsuzsa & Kuha, Jouni, 2018. "Two-step estimation of models between latent classes and external variables," LSE Research Online Documents on Economics 85161, London School of Economics and Political Science, LSE Library.
    2. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    3. Teng Fei & John Hanfelt & Limin Peng, 2023. "Evaluating the association between latent classes and competing risks outcomes with multiphenotype data," Biometrics, The International Biometric Society, vol. 79(1), pages 488-501, March.
    4. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    5. Kuha, Jouni & Zhang, Siliang & Steele, Fiona, 2023. "Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support," LSE Research Online Documents on Economics 116006, London School of Economics and Political Science, LSE Library.

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