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

doi:10.1016/S0033-3506(98)00597-6

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

Institute of Gerontology

Research output: Contribution to journal › Article › peer-review

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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 language	English
Pages (from-to)	129-132
Number of pages	4
Journal	Public Health
Volume	112
Issue number	2
DOIs	https://doi.org/10.1016/S0033-3506(98)00597-6
Publication status	Published - 1998

All Science Journal Classification (ASJC) codes

Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S0033-3506(98)00597-6

Cite this

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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.",

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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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