title: A model-based approach to the imputation of missing data: home injury incidences.
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.
authors.affiliation: Biometrics Branch, Centers for Disease Control, Atlanta, Georgia 30333.
authors.forename: J M
authors.initials: JM
authors.lastname: Conn
authors.forename: K J
authors.initials: KJ
authors.lastname: Lui
authors.forename: D L
authors.initials: DL
authors.lastname: McGee
mesh_terms: D000061:Accidents, Home / Q000706:statistics & numerical data*; D004812:Epidemiologic Methods; D006801:Humans; D015233:Models, Statistical; D014947:Wounds and Injuries / Q000401:mortality*