Semiparametric models for missing covariate and response data in regression models.

@article{Chen2006SemiparametricMF,
  title={Semiparametric models for missing covariate and response data in regression models.},
  author={Qingxia Chen and Joseph G. Ibrahim},
  journal={Biometrics},
  year={2006},
  volume={62 1},
  pages={177-84}
}
We consider a class of semiparametric models for the covariate distribution and missing data mechanism for missing covariate and/or response data for general classes of regression models including generalized linear models and generalized linear mixed models. Ignorable and nonignorable missing covariate and/or response data are considered. The proposed semiparametric model can be viewed as a sensitivity analysis for model misspecification of the missing covariate distribution and/or missing… CONTINUE READING

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