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The MIANALYZE Procedure

References

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

Cochran, W. J. (1977), Sampling Techniques, Second Edition, New York: John Wiley & Sons.

Gadbury, G. L., Coffey, C. S., and Allison, D. B. (2003), "Modern Statistical Methods for Handling Missing Repeated Measurements in Obesity Trial Data: Beyond LOCF," Obesity Reviews, 4, 175–184.

Horton, N. J. and Lipsitz, S. R. (2001), "Multiple Imputation in Practice: Comparison of Software Packages for Regression Models with Missing Variables," Journal of the American Statistical Association, 55, 244–254.

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.

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

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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