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A model-based approach to the imputation of missing data: home injury incidences
1Biometrics Branch, Centers for Disease Control, Atlanta, Georgia 30333.
Statistics in Medicine
|March 1, 1989
Abstract:
Missing or incomplete data cases are a problem in all types of statistical analyses. In disease surveillance, this problem inhibits determining the actual incidence of a disease event and monitoring the disease occurrence. Several statistical techniques have been developed to impute values for incomplete data cases. We present a model-based approach to the imputation of missing data elements as applied to determining the incidence of home injury deaths.