A SAS MACRO FOR A SIMULATION STUDY OF IMPUTATION METHODS FOR MISSING VALUES - AN APPLICATION OF BEBBINGTONS 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 va lues, in which a simple algorithm proposed by Bebbington (Applied Stat istics, 1975) for carrying out simple random sampling without replacem ent was employed to draw repeated random samples efficiently. A simula ted example of drawing repeated random samples from a regional survey of obesity in school children was used to demonstrate the SAS macro.