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. 2011 Dec;45(1):v45/i01.
doi: 10.18637/jss.v045.i01.

State of the Multiple Imputation Software

Recai M Yucel  1
Affiliations

State of the Multiple Imputation Software

Recai M Yucel. J Stat Softw. 2011 Dec.

Abstract

Owing to its practicality as well as strong inferential properties, multiple imputation has been increasingly popular in the analysis of incomplete data. Methods that are not only computationally elegant but also applicable in wide spectrum of statistical incomplete data problems have also been increasingly implemented in a numerous computing environments. Unfortunately, however, the speed of this development has not been replicated in reaching to "sophisticated" users. While the researchers have been quite successful in developing the underlying software, documentation in a style that would be most reachable to the greater scientific society has been lacking. The main goal of this special volume is to close this gap by articles that illustrate these software developments. Here I provide a brief history of multiple imputation and relevant software and highlight the contents of the contributions. Potential directions for the future of the software development is also provided.

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References

    1. Buuren SV, Groothuis-Oudshoorn K. mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software. 2011;45(3):1–67. URL http://www.jstatsoft.org/v45/i03/
    1. Carpenter JR, Goldstein H, Kenward MG. REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types. Journal of Statistical Software. 2011;45(5):1–14. URL http://www.jstatsoft.org/v45/i05/
    1. Dempster AP, Laird NM, Rubin DB. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society B. 1977;39:1–38.
    1. Efron B. Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics. 1979;7:1–26.
    1. Foulkes AS, Yucel RM, Li X. Mixed Modelling with Ambiguous Clusters: A Likelihood-Based Approach. Biostatistics. 2008;9:635–657. - PMC - PubMed

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