The MI Procedure

References

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

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

  • 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. thesis, Erasmus University, Rotterdam.

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  • Li, K. H., Raghunathan, T. E., and Rubin, D. B. (1991), “Large-Sample Significance Levels from Multiply Imputed Data Using Moment-Based Statistics and an F Reference Distribution,” Journal of the American Statistical Association, 86, 1065–1073.

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  • 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 & Hall.

  • Schafer, J. L. (1999), “Multiple Imputation: A Primer,” Statistical Methods in Medical Research, 8, 3–15.

  • Schenker, N. and Taylor, J. M. G. (1996), “Partially Parametric Techniques for Multiple Imputation,” Computational Statistics and Data Analysis, 22, 425–446.

  • Tanner, M. A. and Wong, W. H. (1987), “The Calculation of Posterior Distributions by Data Augmentation,” Journal of the American Statistical Association, 82, 528–540.

  • van Buuren, S. (2007), “Multiple Imputation of Discrete and Continuous Data by Fully Conditional Specification,” Statistical Methods in Medical Research, 16, 219–242.

  • van Buuren, S., Boshuizen, H. C., and Knook, D. L. (1999), “Multiple Imputation of Missing Blood Pressure Covariates in Survival Analysis,” Statistics in Medicine, 18, 681–694.