Missing data is an inherent challenge in the Korea Health Panel Survey (KHPS). Currently, researchers must apply their own criteria for handling the problem of missing data, highlighting the need for multifaceted research.
This study aims to enhance KHPS data quality by analyzing the status of missing data. By examining data collection processes, seeking optimal imputation methods, and evaluating the feasibility of providing imputed data, this research seeks to ensure the provision of more precise and reliable datasets.