title: A SAS macro for a simulation study of imputation methods for missing values--an application of Bebbington's algorithm.
abstract: This paper presents a SAS macro for a simulation study of comparing a new variant of hot-deck imputation with mean imputation for missing values, in which a simple algorithm proposed by Bebbington (Applied Statistics, 1975) for carrying out simple random sampling without replacement was employed to draw repeated random samples efficiently. A simulated example of drawing repeated random samples from a regional survey of obesity in school children was used to demonstrate the SAS macro.
authors.affiliation: Department of Public Health, National Cheng Kung University Medical Center, Tainan, Taiwan, Republic of China.
authors.forename: S T
authors.initials: ST
authors.lastname: Wang
authors.forename: L Y
authors.initials: LY
authors.lastname: Lin
authors.forename: M L
authors.initials: ML
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009765:Obesity; D012984:Software