The use of multiple imputation for the analysis of missing data.
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Cites methods from "The use of multiple imputation for ..."
...A gentle introduction and tutorial on the use of MI under a multivariate normal model was provided by Schafer and Olsen (1998; also see Graham et al., in press; Sinharay et al., 2001)....
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Cites background from "The use of multiple imputation for ..."
...Another advantage of MI over ML-based methods is its computational simplicity (Sinharay et al. 2001)....
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...Unfortunately, the importance of assessing the convergence was rarely mentioned in articles that reviewed the theory and application of MCMC (Schafer 1999; Schafer and Graham 2002; Schlomer et al. 2010; Sinharay et al. 2001)....
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...The distribution of Y depending on the unknown parameter θ can be therefore written as: P Y θÞ ¼ P Y obs;Ymis θÞ ¼ P Y obs θÞP Ymis Y obs; θÞ:jðjðjðjð ð13Þ Equation 13 can be written as a likelihood function as Equation 14: L θ Y Þ ¼ L θ Yobs;YmisÞ ¼ cL θ YobsÞP Ymis Y obs; θÞ;jðjðjðjð ð14Þ where c…...
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"The use of multiple imputation for ..." refers background in this paper
...Recently, however, with the advent of faster computers, MI has become quite popular in survey and nonsurvey contexts (Rubin, 1996; Schafer, 1997a; Schafer & Olsen, 1998)....
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