Missing Data Analysis Using Statistical and Machine Learning Methods in Facility-Based Maternal Health Records
Author:
Funder
African Centre of Excellence in Data Science, University of Rwanda
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42979-022-01249-z.pdf
Reference57 articles.
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3. Barnard J, Meng X-L. Applications of multiple imputation in medical studies: from AIDS to NHANES. Stat Methods Med Res. 1999;8(1):17–36. https://doi.org/10.1177/096228029900800103.
4. Cole JC. How to deal with missing data. In: Best practices in quantitative methods. 2008. pp. 214–238
5. Wells BJ, Chagin KM, Nowacki AS, Kattan MW. Strategies for handling missing data in electronic health record derived data. EGEMS (Wash DC). 2013;1(3):1035. https://doi.org/10.13063/2327-9214.1035.
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