Dealing with missing data in a multi-question depression scale: a comparison of imputation methods

@article{Shrive2006DealingWM,
  title={Dealing with missing data in a multi-question depression scale: a comparison of imputation methods},
  author={Fiona M Shrive and Heather L. Stuart and Hude Quan and William Ghali},
  journal={BMC Medical Research Methodology},
  year={2006},
  volume={6},
  pages={57 - 57}
}
BACKGROUND Missing data present a challenge to many research projects. The problem is often pronounced in studies utilizing self-report scales, and literature addressing different strategies for dealing with missing data in such circumstances is scarce. The objective of this study was to compare six different imputation techniques for dealing with missing data in the Zung Self-reported Depression scale (SDS). METHODS 1580 participants from a surgical outcomes study completed the SDS. The SDS… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 154 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 16 references

APPROACH: Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses

  • PD F, WA GRB, CM N, PD G, ML K, Investigators
  • J Clin Epidemiol
  • 2002
1 Excerpt

Inference and Missing Data

  • R DB
  • Statistical Analysis System Version 8 . 1
  • 2000

Similar Papers

Loading similar papers…