Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.

@article{Schafer1998MultipleIF,
  title={Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.},
  author={Joseph L. Schafer and Murray K. Olsen},
  journal={Multivariate behavioral research},
  year={1998},
  volume={33 4},
  pages={545-71}
}
Analyses of multivariate data are frequently hampered by missing values. Until recently, the only missing-data methods available to most data analysts have been relatively ad1 hoc practices such as listwise deletion. Recent dramatic advances in theoretical and computational statistics, however, have produced anew generation of flexible procedures with a sound statistical basis. These procedures involve multiple imputation (Rubin, 1987), a simulation technique that replaces each missing datum… CONTINUE READING
Highly Influential
This paper has highly influenced 18 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 350 extracted citations

The Effects of Missing Data Treatment on Person Ability Estimates Using Irt Models

Sonia Mariel Suarez Enciso
2016
View 9 Excerpts
Highly Influenced

Reducing the length of mental health instruments through structurally incomplete designs.

International journal of methods in psychiatric research • 2007
View 6 Excerpts
Highly Influenced

Herausforderungen und Nutzen eines Datamart-Systems in der Herzchirurgie

Zeitschrift für Herz-, Thorax- und Gefäßchirurgie • 2004
View 9 Excerpts
Highly Influenced

Consistency in performance evaluation reports and medical records.

The journal of mental health policy and economics • 2002
View 3 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Multiple Imputation for Nonresponse in Surveys

D. B. Rubin
nonresponse. Proceedings of the Survey Research Methods Section, • 1987
View 16 Excerpts
Highly Influenced

Hierarchical Linear and Nonlinear Modeling with the HLM/2L and HLM/3L Programs

J. L. Arbuckle
Scientific Software International, • 1995
View 3 Excerpts
Highly Influenced

Multiple imputation after 18 + years ( with discussion )

D. B. Rubin
Journal of the 40 • 1996

A simulation study to evaluate the performance of model - based multiple imputations in NCHS health examination surveys

T. M. Ezzati-Rice, W. Johnson, +3 authors J. L. Schafer
Proceedings of the Annual Research Conference • 1995
View 1 Excerpt

Multiple imputations in sample surveys — a phenomenological Bayesian approach to nonresponse

D. B. Rubin
Proceedings of the Survey Research Methods Section , American Statistical Association • 1978
View 1 Excerpt

Inference and missing data

D. B. Rubin
Biometrika • 1976
View 1 Excerpt

Similar Papers

Loading similar papers…