A SAS macro for a simulation study of imputation methods for missing values--an application of Bebbington's algorithm.
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.
Wang
S T
ST
Department of Public Health, National Cheng Kung University Medical Center, Tainan, Taiwan, Republic of China.
Lin
L Y
LY
Yu
M L
ML
D000465:Algorithms; D001699:Biometry / Q000379:methods; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009765:Obesity; D012984:Software