The use of multiple imputation for the analysis of missing data

Psychological Methods

Volumn 6, Issue 3, 2001, Pages 317-329

  Sinharay, Sandip ^b   Stern, Hal S ^a   Russell, Daniel ^b  

^a Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAM; EPIDEMIOLOGY; HUMAN; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; PSYCHOLOGIC TEST; PSYCHOLOGY; PSYCHOMETRY; REVIEW; STATISTICAL MODEL; STATISTICS;

BIAS (EPIDEMIOLOGY); DATA COLLECTION; HUMANS; LIKELIHOOD FUNCTIONS; MATHEMATICAL COMPUTING; PSYCHOLOGICAL TESTS; PSYCHOLOGY, EXPERIMENTAL; PSYCHOMETRICS; SOFTWARE;

EID: 0035748192     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/1082-989x.6.4.317     Document Type: Article

References (31)

1. Allison, P. (2000). Multiple imputation for missing data: A cautionary tale. Sociological Methods and Research, 28, 301-309.
2. Allison, P. D. (2001). Missing data. Thousand Oaks, CA: Sage.
3. Arbuckle, J. L. (1997). Amos users' guide (Version 3.6). Chicago: SmallWaters Corporation.
4. Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models. Newbury Park, CA: Sage.
5. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
6. Diggle, P. J., & Kenward, M. G. (1994). Informative dropout in longitudinal data analysis. Applied Statistics, 43, 49-73.
7. Duncan, T. E., Duncan, S. C., & Li, F. (1998). A comparison of model- and multiple imputation-based approaches to longitudinal analyses with partial missingness. Structural Equation Modeling, 5, 1-21.
8. Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995). Bayesian data analysis. London: Chapman & Hall.
9. Gold, M. S., & Bentler, P. M. (2000). Treatments of missing data: A Monte Carlo comparison of RBHDI, interactive stochastic regression imputation and expectationmaximization. Structural Equation Modeling, 7, 319-355.
10. Insightful Corporation. (2001). S-PLUS 6 for Windows [Computer software]. Seattle, WA: Author.
11. Jeon, Y., & Stern, H. S. (2001). Bayesian inference for structural equation models with incomplete data. Manuscript submitted for publication.
12. Jöreskog, K., Sörbom, D., du Toit, S., & du Toit, M. (1999). LISREL 8: New statistical features. Chicago: Scientific Software International.
13. Little, R. J. A. (1993). Pattern-mixture models for multivariate incomplete data. Journal of the American Statistical Association, 88, 125-134.
14. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: Wiley.
15. Lutgendorf, S. K., Russell, D. W., Ullrich, P., Harris, T., de la Mora, A., & Wallace, R. (2001). IL-6 mediates beneficial effects of religious attendance on mortality in older adults. Unpublished manuscript.
16. Rubin, D. B. (1978). Multiple imputations in sample surveys - A phenomenological Bayesian approach to nonresponse. In Proceedings of the Survey Research Methods Section (pp. 20-34). Alexandria, VA: American Statistical Association.
17. Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.
18. Rubin, D. B. (1996). Multiple imputation after 18+ years. Journal of the American Statistical Association, 90, 822-828.
19. Rubin, D. B., & Schenker, N. (1986). Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association, 81, 366-374.
20. Russell, D. W., Stern, H., & Sinharay, S. (2001). An evaluation of multiple imputation as an approach to missing data. Manuscript submitted for publication.
21. Schafer, J. L. (1997a). Analysis of incomplete multivariate data. New York: Chapman & Hall.
22. Schafer, J. L. (1997b). CAT Library for S-PLUS [Computer software]. Retrieved July 18, 2001, from http://www.stat.psu.edu/~jls/misoftwa.html
23. Schafer, J. L. (1997c). MIX Library for S-PLUS [Computer software]. Retrieved July 18, 2001, from http://www.stat.psu.edu/~jls/misoftwa.html
24. Schafer, J. L. (1997d). NORM Library for S-PLUS [Computer software]. Retrieved July 18, 2001, from http://www.stat.psu.edu/~jls/misoftwa.html
25. Schafer, J. L. (1997e). PAN Library for S-PLUS [Computer software]. Retrieved July 18, 2001, from http://www.stat.psu.edu/~jls/misoftwa.html
26. Schafer, J. L. (1999). NORM (Version 2.03 for Windows) [Computer software]. Retrieved July 18, 2001, from http://www.stat.psu.edu/~jls/misoftwa.html
27. Schafer, J. L., & Olsen, M. K. (1998). Multiple imputation for multivariate missing-data problems: A data analyst's perspective. Multivariate Behavioral Research, 33, 545-571.
28. Statistical Solutions, Inc. (1998). SOLAS Version 1.1 [Computer software]. Cork, Ireland: Author.
29. Statistical Solutions, Inc. (2001). SOLAS Version 3.0 [Computer software]. Cork, Ireland: Author.
30. Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation. Journal of the American Statistical Association, 82, 528-550.
31. Vargas-Chanes, D. (2000). Imputation methods for incomplete panel data with applications to latent growth curves. Unpublished doctoral dissertation, Iowa State University, Ames, Iowa.