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ABSTRACT: Objectives
The Korea National Health and Nutrition Examination Survey (KNHANES) is a public health survey that assesses individuals' health and nutritional status and monitors the prevalence of major chronic diseases. In general, sampling weights are adjusted for unit non-responses and imputation is conducted for item non-responses. In this study, we proposed strategies for imputing item non-responses in the KNHANES in order to improve the usefulness of data, minimize bias, and increase statistical power.Methods
After applying logical imputation, we adopted 2 separate imputation methods for each variable type: unweighted sequential hot-deck imputation for categorical variables and sequential regression imputation for continuous variables. For variance estimation, multiple i
SUBMITTER: Son S
PROVIDER: S-EPMC10106541 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature