A SAS macro for a simulation study of imputation methods for missing values - an application of Bebbington's algorithm

S. T. Wang, L. Y. Lin, M. L. Yu

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 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.

Original languageEnglish
Pages (from-to)129-132
Number of pages4
JournalPublic Health
Volume112
Issue number2
DOIs
Publication statusPublished - 1998 Jan 1

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

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