Estimation of parameters and missing values under a regression model with non-normally distributed and non-randomly incomplete data.

@article{Azen1989EstimationOP,
  title={Estimation of parameters and missing values under a regression model with non-normally distributed and non-randomly incomplete data.},
  author={Stanley Paul Azen and Michael G van Guilder and Mountain AvenueMurray Hill},
  journal={Statistics in medicine},
  year={1989},
  volume={8 2},
  pages={217-28}
}
We carried out a simulation study to compare the performance of three algorithms (complete cases, ALLVALUE, and expectation maximization, EM) in estimating regression parameters and missing values for situations that have varying amounts of missing data, distributions (normal, mixture of normals and lognormal), patterns of incomplete data (random, related and censored), and degrees of correlational structure among the dependent and independent variables. We found that the EM and complete cases… CONTINUE READING

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