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www.multiple-imputation.com ... Maintained by Stef van Buuren ... TNO Quality of Life...
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Imputation (statistics) - Wikipedia, the free encyclopedia
In statistics, imputation is the substitution of some value for a missing data point or a missing component of a data point. Once all missing values have been imputed, the dataset can then be analys...
en.wikipedia.org/wiki/Imputation_(statistics) |
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Multiple Imputation for Missing Data: Concepts and New; Development (Version 9.0); Yang C. Yuan, SAS Institute Inc., Rockville, MD; Abstract; Multiple imputation provides a useful strategy for dealing with data sets with missing values.
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MICE stands for Multivariate Imputation by Chained Equations. We have written a software library for multiple imputation using S-Plus V4.5 and higher for Windows, and R 1.8 and higher for Windows. The library assists in performing the steps required in a full multiple imputation analysis.
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Performing multiple complete data analysis after multiple imputation, and consolidating results, is simplified by using the library. More info. Standard in S-Plus. ... Version 3.0 offers new methods for multiple imputation, primarily based on Rubin's Chapter 5, as well as a scripting facility Stand-alone, pretty interface.
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Unique statistical software for statisticians, clinical researchers and data analysts. ... SOLAS for Missing Data Analysis: Multiple & Single Imputation Techniques...
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Data Analysis and Statistical Software for Professionals ... Multiple imputation for missing data ... Stata’s new mi command provides a full suite of multiple-imputation methods for the analysis of incomplete data, data for which some values are missing. mi provides both the imputation and the estimation steps.
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