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Estimating Equations for a Latent Transit ion Model with Multiple Discrete Indicators

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  • Beth A. Reboussin
  • Kung-Yee Liang
  • David M. Reboussin

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  • Beth A. Reboussin & Kung-Yee Liang & David M. Reboussin, 1999. "Estimating Equations for a Latent Transit ion Model with Multiple Discrete Indicators," Biometrics, The International Biometric Society, vol. 55(3), pages 839-845, September.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:3:p:839-845
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00839.x
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    References listed on IDEAS

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    1. Greiner, P.A. & Snowdon, D.A. & Schmitt, F.A., 1996. "The loss of independence in activities of daily living: The role of low normal cognitive function in elderly nuns," American Journal of Public Health, American Public Health Association, vol. 86(1), pages 62-66.
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    Cited by:

    1. Beth A. Reboussin & Nicholas S. Ialongo, 2010. "Latent transition models with latent class predictors: attention deficit hyperactivity disorder subtypes and high school marijuana use," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 145-164, January.
    2. Labbe Aurelie & Bureau Alexandre & Merette Chantal, 2009. "Integration of Genetic Familial Dependence Structure in Latent Class Models," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-30, January.
    3. Beth A. Reboussin & Edward H. Ip & Mark Wolfson, 2008. "Locally dependent latent class models with covariates: an application to under‐age drinking in the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 877-897, October.
    4. Kari R. Hart & Teng Fei & John J. Hanfelt, 2021. "Scalable and robust latent trajectory class analysis using artificial likelihood," Biometrics, The International Biometric Society, vol. 77(3), pages 1118-1128, September.
    5. Julia Y. Lin & Thomas R. Ten Have & Michael R. Elliott, 2009. "Nested Markov Compliance Class Model in the Presence of Time-Varying Noncompliance," Biometrics, The International Biometric Society, vol. 65(2), pages 505-513, June.
    6. Diana L. Miglioretti, 2003. "Latent Transition Regression for Mixed Outcomes," Biometrics, The International Biometric Society, vol. 59(3), pages 710-720, September.
    7. Wall, Melanie M. & Liu, Xuan, 2009. "Spatial latent class analysis model for spatially distributed multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3057-3069, June.
    8. Chih-chiang Yang, 2007. "Confirmatory and Structural Categorical Latent Variables Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 831-849, December.
    9. James C. Slaughter & Amy H. Herring & John M. Thorp, 2009. "A Bayesian Latent Variable Mixture Model for Longitudinal Fetal Growth," Biometrics, The International Biometric Society, vol. 65(4), pages 1233-1242, December.
    10. Wouterse, Bram & Huisman, Martijn & Meijboom, Bert R. & Deeg, Dorly J.H. & Polder, Johan J., 2013. "Modeling the relationship between health and health care expenditures using a latent Markov model," Journal of Health Economics, Elsevier, vol. 32(2), pages 423-439.

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