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Statistics in medicine · Apr 1991
ReviewMultiple imputation in health-care databases: an overview and some applications.
- D B Rubin and N Schenker.
- Department of Statistics, Harvard University, Cambridge, MA 02138.
- Stat Med. 1991 Apr 1; 10 (4): 585-98.
AbstractMultiple imputation for non-response replaces each missing value by two or more plausible values. The values can be chosen to represent both uncertainty about the reasons for non-response and uncertainty about which values to impute assuming the reasons for non-response are known. This paper provides an overview of methods for creating and analysing multiply-imputed data sets, and illustrates the dramatic improvements possible when using multiple rather than single imputation. A major application of multiple imputation to public-use files from the 1970 census is discussed, and several exploratory studies related to health care that have used multiple imputation are described.
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