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Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data

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  • Wenqin Pan
  • Donglin Zeng
  • Xihong Lin

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  • Wenqin Pan & Donglin Zeng & Xihong Lin, 2009. "Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data," Biometrics, The International Biometric Society, vol. 65(3), pages 728-736, September.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:3:p:728-736
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01173.x
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    References listed on IDEAS

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    1. Wenqin Pan & Xihong Lin & Donglin Zeng, 2006. "Structural Inference in Transition Measurement Error Models for Longitudinal Data," Biometrics, The International Biometric Society, vol. 62(2), pages 402-412, June.
    2. Jason Roy & Xihong Lin, 2005. "Missing Covariates in Longitudinal Data with Informative Dropouts: Bias Analysis and Inference," Biometrics, The International Biometric Society, vol. 61(3), pages 837-846, September.
    3. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    4. Patrick J. Heagerty, 2002. "Marginalized Transition Models and Likelihood Inference for Longitudinal Categorical Data," Biometrics, The International Biometric Society, vol. 58(2), pages 342-351, June.
    5. Biorn, Erik & Klette, Tor Jakob, 1998. "Panel data with errors-in-variables: essential and redundant orthogonality conditions in GMM-estimation," Economics Letters, Elsevier, vol. 59(3), pages 275-282, June.
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    Cited by:

    1. Sun, Zhihua & Ye, Xue & Sun, Liuquan, 2015. "Consistent test of error-in-variables partially linear model with auxiliary variables," Journal of Multivariate Analysis, Elsevier, vol. 141(C), pages 118-131.
    2. Hong, Zhaoping & Lian, Heng, 2012. "Time-varying coefficient estimation in differential equation models with noisy time-varying covariates," Journal of Multivariate Analysis, Elsevier, vol. 103(1), pages 58-67, January.
    3. Jingxuan Luo & Lili Yue & Gaorong Li, 2023. "Overview of High-Dimensional Measurement Error Regression Models," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    4. Qin, Guoyou & Zhang, Jiajia & Zhu, Zhongyi, 2016. "Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 24-39.
    5. Enrico A. Colosimo & Maria Arlene Fausto & Marta Afonso Freitas & Jorge Andrade Pinto, 2012. "Practical modeling strategies for unbalanced longitudinal data analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 2005-2013, May.

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