REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
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DOI：
10.18637/jss.v045.i05
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发表时间：
2011-12
影响因子：
5.8
通讯作者：
J. Carpenter;H. Goldstein;M. Kenward
中科院分区：
文献类型：
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作者：
J. Carpenter;H. Goldstein;M. Kenward
在数据随机丢失的假设下，多重推算正日益成为对部分观测数据进行建模的主要实用方法。然而，许多医学和社会数据集是多层次的，这种结构不仅应该反映在感兴趣的模型中，也应该反映在归因模型中。特别是，归责模型应该反映1级变量和2级变量(它们在1级单元中是恒定的)之间的差异。这导致我们开发了REALCOM-pute软件，我们在本文中对其进行了描述。该软件执行多层多重填充，并适当地处理有序和无序的分类数据。它可以在网上免费获得，可以作为独立的软件包使用，也可以与多级软件MLwiN或STATA一起使用。
Multiple imputation is becoming increasingly established as the leading practical approach to modelling partially observed data, under the assumption that the data are missing at random. However, many medical and social datasets are multilevel, and this structure should be reected not only in the model of interest, but also in the imputation model. In particular, the imputation model should reect the dierences between level 1 variables and level 2 variables (which are constant across level 1 units). This led us to develop the REALCOM-IMPUTE software, which we describe in this article. This software performs multilevel multiple imputation, and handles ordinal and unordered categorical data appropriately. It is freely available on-line, and may be used either as a standalone package, or in conjunction with the multilevel software MLwiN or Stata.