Missing data in clinical studies: issues and methods.

@article{Ibrahim2012MissingDI,
  title={Missing data in clinical studies: issues and methods.},
  author={Joseph G. Ibrahim and Haitao Chu and Ming-Hui Chen},
  journal={Journal of clinical oncology : official journal of the American Society of Clinical Oncology},
  year={2012},
  volume={30 26},
  pages={3297-303}
}
Missing data are a prevailing problem in any type of data analyses. A participant variable is considered missing if the value of the variable (outcome or covariate) for the participant is not observed. In this article, various issues in analyzing studies with missing data are discussed. Particularly, we focus on missing response and/or covariate data for studies with discrete, continuous, or time-to-event end points in which generalized linear models, models for longitudinal data such as… CONTINUE READING
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