References

Allison, P. D. 2001. Missing Data (Quantitative Applications in the Social Sciences). Thousand Oaks, CA: Sage Publications.

———. 2005. Imputation of categorical variables with PROC MI. Proceedings of the SAS Users Group International (SUGI). Volume 30, paper 113-30, 1–14.

Amemiya, T. 1985. Advanced Econometrics. Cambridge, MA: Harvard University Press.

Andridge, R. R., and R. J. A. Little. 2011. Proxy pattern-mixture analysis for survey nonresponse. Journal of Official Statistics, 27, 2, 153–180.

Barnard, J., and D. B. Rubin. 1999. Small-sample degrees of freedom with multiple imputation. Biometrika, 86, 948–955.

Bobb, J. F., D. O. Scharfstein, M. J. Daniels, F. S. Collins, and S. N. Kelada. 2011. Multiple imputation of missing phenotype ...

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