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SHORT COMMUNICATIONS

A discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

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Page 140 | Received 07 Sep 2018, Accepted 10 Sep 2018, Published online: 26 Sep 2018

References

  • Qin, J., & Lawless, J. (1994). Empirical likelihood and general estimating equations. Journal of the American Statistical Association, 22, 300–325.
  • Shao, J., & Wang, L. (2016). Semiparametric inverse propensity weighting for nonignorable missing data. Biometrika, 103, 175–187. doi: 10.1093/biomet/asv071
  • Zhao, H., Zhao, P. Y., & Tang, N. S. (2013). Empirical likelihood inference for mean functionals with nonignorably missing response data. Computational Statistics & Data Analysis, 66, 101–116. doi: 10.1016/j.csda.2013.03.023

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