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Joint Analysis of Time-to-Event and Multiple Binary Indicators of Latent Classes

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  • Klaus Larsen

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  • Klaus Larsen, 2004. "Joint Analysis of Time-to-Event and Multiple Binary Indicators of Latent Classes," Biometrics, The International Biometric Society, vol. 60(1), pages 85-92, March.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:1:p:85-92
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00141.x
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    Cited by:

    1. Briana J. K. Stephenson & Amy H. Herring & Andrew F. Olshan, 2022. "Derivation of maternal dietary patterns accounting for regional heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1957-1977, November.
    2. Stacia M. DeSantis & E. Andrés Houseman & Brent A. Coull & David N. Louis & Gayatry Mohapatra & Rebecca A. Betensky, 2009. "A Latent Class Model with Hidden Markov Dependence for Array CGH Data," Biometrics, The International Biometric Society, vol. 65(4), pages 1296-1305, December.
    3. Jaeun Choi & Jianwen Cai & Donglin Zeng, 2017. "Penalized Likelihood Approach for Simultaneous Analysis of Survival Time and Binary Longitudinal Outcome," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 190-216, November.
    4. Jaeun Choi & Donglin Zeng & Andrew F. Olshan & Jianwen Cai, 2018. "Joint modeling of survival time and longitudinal outcomes with flexible random effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(1), pages 126-152, January.
    5. Josué Almansa & Jeroen K. Vermunt & Carlos G. Forero & Jordi Alonso, 2014. "A factor mixture model for multivariate survival data: an application to the analysis of lifetime mental disorders," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 85-102, January.
    6. Dimitris Rizopoulos & Geert Verbeke & Geert Molenberghs, 2010. "Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes," Biometrics, The International Biometric Society, vol. 66(1), pages 20-29, March.
    7. Klaus Larsen, 2005. "The Cox Proportional Hazards Model with a Continuous Latent Variable Measured by Multiple Binary Indicators," Biometrics, The International Biometric Society, vol. 61(4), pages 1049-1055, December.
    8. Dimitris Rizopoulos & Geert Verbeke & Emmanuel Lesaffre & Yves Vanrenterghem, 2008. "A Two-Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros," Biometrics, The International Biometric Society, vol. 64(2), pages 611-619, June.
    9. Liu, Yue & Liu, Lei & Zhou, Jianhui, 2015. "Joint latent class model of survival and longitudinal data: An application to CPCRA study," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 40-50.

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