Multiple Imputation by Chained Equations (MICE): Implementation inStata
نویسندگان
چکیده
منابع مشابه
Multiple Imputation by Chained Equations in Praxis: Guidelines and Review
Multiple imputation by chained equations (MICE) is an effective tool to handle missing data an almost unavoidable problem in quantitative data analysis. However, despite the empirical and theoretical evidence supporting the use of MICE, researchers in the social sciences often resort to inferior approaches unnecessarily risking erroneous results. The complexity of the decision process when enco...
متن کاملmice: Multivariate Imputation by Chained Equations in R
The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice 2.9, which extends the functionality of mice 1.0 in several ways. In mice 2.9, the analysis of imputed data i...
متن کاملMultiple imputation: review of theory, implementation and software.
Missing data is a common complication in data analysis. In many medical settings missing data can cause difficulties in estimation, precision and inference. Multiple imputation (MI) (Multiple Imputation for Nonresponse in Surveys. Wiley: New York, 1987) is a simulation-based approach to deal with incomplete data. Although there are many different methods to deal with incomplete data, MI has bec...
متن کاملJoint modelling rationale for chained equations
BACKGROUND Chained equations imputation is widely used in medical research. It uses a set of conditional models, so is more flexible than joint modelling imputation for the imputation of different types of variables (e.g. binary, ordinal or unordered categorical). However, chained equations imputation does not correspond to drawing from a joint distribution when the conditional models are incom...
متن کاملOn the Performance of Multiple Imputation Based on Chained Equations in Tackling Missing Data of the African α3.7-Globin Deletion in a Malaria Association Study
Multiple imputation based on chained equations (MICE) is an alternative missing genotype method that can use genetic and nongenetic auxiliary data to inform the imputation process. Previously, MICE was successfully tested on strongly linked genetic data. We have now tested it on data of the HBA2 gene which, by the experimental design used in a malaria association study in Tanzania, shows a high...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2011
ISSN: 1548-7660
DOI: 10.18637/jss.v045.i04