期刊
STATISTICS IN MEDICINE
卷 30, 期 4, 页码 377-399出版社
WILEY
DOI: 10.1002/sim.4067
关键词
missing data; multiple imputation; fully conditional specification
类别
资金
- UK Medical Research Council [U.1052.00.006, U.1228.06.01.00002.01]
- MRC [MC_U105260558, MC_EX_G0800814] Funding Source: UKRI
- Medical Research Council [MC_U105260558, MC_EX_G0800814] Funding Source: researchfish
Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. Copyright (C) 2010 John Wiley & Sons, Ltd.
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