What is Missing in Missing Data Handling? An Evaluation of Missingness in and Potential Remedies for Doctoral Dissertations and Subsequent Publications that Use NHANES Data

What is Missing in Missing Data Handling? An Evaluation of Missingness in and Potential Remedies for Doctoral Dissertations and Subsequent Publications that Use NHANES Data

AbstractMissing data can significantly influence results of epidemiological studies. The National Health and Nutrition Examination Survey (NHANES) is a popular epidemiological dataset. We examined recent practices related to the prevalence and the reporting of the amount of missing data, the underly...

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Bibliographic Details
Main Authors: Hairui Yu, Suzanne E. Perumean-Chaney, Kathryn A. Kaiser
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Journal of Statistics and Data Science Education
Subjects:
Epidemiological methods
Imputation
Missing data
Sample weights
Online Access:https://www.tandfonline.com/doi/10.1080/26939169.2023.2177214

Internet

https://www.tandfonline.com/doi/10.1080/26939169.2023.2177214

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