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Original Articles

An EM algorithm for regression analysis with incomplete covariate information

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Pages 163-173 | Received 01 Nov 2004, Published online: 24 Nov 2006

References

  • Rubin , D. B. 1976 . Inference and missing data . Biometrika , 63 : 581 – 592 .
  • Ibrahim , J. G. , Chen , M. H. and Lipsitz , S. R. 1999 . Monte Carlod EM for missing covariates in parametric regression models . Biometrics , 55 : 591 – 596 .
  • Zhang , Z. and Rockette , H. E. 2005 . On maximum likelihood estimation in parametric regression with missing covariates . Journal of Statistical Planning and Inference , 134 : 206 – 223 .
  • Zhang , Z. and Rockette , H. E. 2004 . “ Semiparametric maximum likelihood for missing covariates in parametric regression ” . In Annals of the Institute of Statistical Mathematics in press
  • Dempster , A. P. , Laird , N. M. and Rubin , D. B. 1977 . Maximum likelihood from incomplete data via the EM algorithm . Journal of the Royal Statistical Society, Series B , 39 : 1 – 38 .
  • Lipsitz , S. R. and Ibrahim , J. G. 1996 . A conditional model for incomplete covariates in parametric regression models . Biometrika , 83 : 916 – 922 .

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