References

In addition to the research literature listed below, the development of the MI and MIANALYZE procedures has benefited significantly from the advice and expertise of

• Paul Allison, University of Pennsylvania

• John Barnard Jr., Cleveland Clinic Foundation

• Nick Horton, Boston University

• Donald B. Rubin, Harvard University

• Joseph L. Schafer, Penn State University

We gratefully acknowledge the time and effort that these researchers have contributed .

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, Inc.

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, Inc.

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, Inc.

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.