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The MI Procedure

References

Anderson, T. W. (1984), An Introduction to Multivariate Statistical Analysis, Second Edition, New York: John Wiley & Sons.

Allison, P. D. (2000), "Multiple Imputation for Missing Data: A Cautionary Tale," Sociological Methods and Research, 28, 301–309.

Allison, P. D. (2001), "Missing Data," Thousand Oaks, CA: Sage Publications.

Barnard, J., and Meng, X. L. (1999), "Applications of Multiple Imputation in Medical Studies: From AIDS to NHANES," Statistical Methods in Medical Research, 8, 17–36.

Barnard, J. and Rubin, D. B. (1999), "Small-Sample Degrees of Freedom with Multiple Imputation," Biometrika, 86, 948–955.

Brand, J. P. L. (1999), "Development, Implementation and Evaluation of Multiple Imputation Strategies for the Statistical Analysis of Incomplete Data Sets," Ph.D. dissertation, Erasmus University, Rotterdam.

Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), "Maximum Likelihood from Incomplete Data via the EM Algorithm," Journal of the Royal Statistical Society, Ser. B., 39, 1–38.

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Little, R. J. A. and Rubin, D. B. (2002), Statistical Analysis with Missing Data, Second Edition, New York: John Wiley & Sons.

Liu, C. (1993), "Bartlett’s Decomposition of the Posterior Distribution of the Covariance for Normal Monotone Ignorable Missing Data," Journal of Multivariate Analysis, 46, 198–206.

McLachlan, G. J. and Krishnan, T. (1997), The EM Algorithm and Extensions, New York: John Wiley & Sons.

Rosenbaum, P. R. and Rubin, D. B. (1983), "The Central Role of the Propensity Score in Observational Studies for Causal Effects," Biometrika, 70, 41–55.

Rubin, D. B. (1976), "Inference and Missing Data," Biometrika, 63, 581–592.

Rubin, D. B. (1987), Multiple Imputation for Nonresponse in Surveys, New York: John Wiley & Sons.

Rubin, D. B. (1996), "Multiple Imputation after 18+ Years," Journal of the American Statistical Association, 91, 473–489.

Schafer, J. L. (1997), Analysis of Incomplete Multivariate Data, New York: Chapman and Hall.

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