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Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates: Changes in Methadone Treatment Practices

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  • Roy J.
  • Lin X.

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  • Roy J. & Lin X., 2002. "Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates: Changes in Methadone Treatment Practices," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 40-52, March.
  • Handle: RePEc:bes:jnlasa:v:97:y:2002:m:march:p:40-52
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    Cited by:

    1. Sun, Liuquan & Tong, Xingwei, 2009. "Analyzing longitudinal data with informative observation times under biased sampling," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1162-1168, May.
    2. Yang, Ying & Kang, Jian, 2010. "Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 193-207, January.
    3. Mathieu Bunel & Jean-Pascal Guironnet, 2011. "Earning Inequalities Between and Within Nests," Working Papers halshs-00868198, HAL.
    4. Jean-Pascal Guironnet & Matthieu Bunel, 2011. "Earning Inequalities Between and Within Nests: A Multilevel Modeling Approach Applied to the Case of France," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201118, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.

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