Bootstrap inference when using multiple imputation
نویسندگان
چکیده
منابع مشابه
Nonparametric Markov chain bootstrap for multiple imputation
Multiple imputation is a statistical method for analyzing data with missing values. Nonparametric Markov chain bootstrap methods can be used to generate multiple imputations of both scalar and multivariate outcome variables, under the assumption that the data are missing completely at random, and nonparametric inference can be obtained using multiple implementation bootstrap. The nonparametric ...
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Multiple imputation, as described by Rubin, has seen a wide variety of applications. Counterexamples, presented by Fay (1991), and new methods, such as those of J.N.K. Rao and J. Shao, that can asymptotically disagree with the multiple imputation approach, have raised questions about the validity of multiple imputation. This paper identifies critical restrictions on the practical application of...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2018
ISSN: 0277-6715
DOI: 10.1002/sim.7654