The Classical Linear Regression Model with one Incomplete Binary Variable

@inproceedings{Toutenburg1999TheCL,
  title={The Classical Linear Regression Model with one Incomplete Binary Variable},
  author={Helge Toutenburg and Thomas Nittner},
  year={1999}
}
We present three different methods based on the conditional mean imputation when binary explanatory variables are incomplete. Apart from the single imputation and multiple imputation especially the so-called pi imputation is presented as a new procedure. Seven procedures are compared in a simulation experiment when missing data are confined to one independent binary variable: complete case analysis, zero order regression, categorical zero order regression, pi imputation, single imputation… CONTINUE READING

Figures from this paper.

References

Publications referenced by this paper.
SHOWING 1-4 OF 4 REFERENCES

A method of estimation of missing values in multivariatedata suitable for use with an electronic computer

S. F. ReferencesBuck
  • Journal of the RoyalStatistical Society , Series B
  • 1960