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Semiparametric estimation of logistic regression model with missing covariates and outcome

Author

Listed:
  • Shen-Ming Lee
  • Chin-Shang Li

    ()

  • Shu-Hui Hsieh
  • Li-Hui Huang

Abstract

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Suggested Citation

  • Shen-Ming Lee & Chin-Shang Li & Shu-Hui Hsieh & Li-Hui Huang, 2012. "Semiparametric estimation of logistic regression model with missing covariates and outcome," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(5), pages 621-653, July.
  • Handle: RePEc:spr:metrik:v:75:y:2012:i:5:p:621-653
    DOI: 10.1007/s00184-011-0345-9
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    File URL: http://hdl.handle.net/10.1007/s00184-011-0345-9
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    References listed on IDEAS

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    1. Cheng, K. F. & Hsueh, H. M., 1999. "Correcting bias due to misclassification in the estimation of logistic regression models," Statistics & Probability Letters, Elsevier, vol. 44(3), pages 229-240, September.
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    Cited by:

    1. Shu-Hui Hsieh & Shen-Ming Lee & Chin-Shang Li & Su-Hao Tu, 2016. "An alternative to unrelated randomized response techniques with logistic regression analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 601-621, November.
    2. T. Martin Lukusa & Shen-Ming Lee & Chin-Shang Li, 2016. "Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(4), pages 457-483, May.
    3. Hsieh, Shu-Hui & Li, Chin-Shang & Lee, Shen-Ming, 2013. "Logistic regression with outcome and covariates missing separately or simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 32-54.

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