Multiple Imputation of Missing Data: A Simulation Study on a Binary Response
نویسندگان
چکیده
منابع مشابه
Multiple Imputation of Missing Data: A Simulation Study on a Binary Response
Currently, a growing number of programs become available in statistical software for multiple imputation of missing values. Among others, two algorithms are mainly implemented: Expectation Maximization (EM) and Multiple Imputation by Chained Equations (MICE). They have been shown to work well in large samples or when only small proportions of missing data are to be imputed. However, some resear...
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Multiple Imputation for Missing Data
Multiple imputation provides a useful strategy for dealing with data sets with missing values. Instead of filling in a single value for each missing value, Rubin’s (1987) multiple imputation procedure replaces each missing value with a set of plausible values that represent the uncertainty about the right value to impute. These multiply imputed data sets are then analyzed by using standard proc...
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ژورنال
عنوان ژورنال: Open Journal of Statistics
سال: 2013
ISSN: 2161-718X,2161-7198
DOI: 10.4236/ojs.2013.35043