Robustness of Multiple Imputation Methods for Missing Risk Factor Data from Electronic Medical Records for Observational Studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Science Applications,Health Informatics,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s41666-022-00119-w.pdf
Reference37 articles.
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3. Montvida O, Klein K, Kumar S, Khunti K, Paul SK (2017) Addition of or switch to insulin therapy in people treated with glucagon-like peptide-1 receptor agonists: a real-world study in 66 583 patients. Diabetes Obes Metab 19(1):108–117. https://doi.org/10.1111/dom.12790
4. Montvida O, Shaw JE, Blonde L, Paul SKJD, Obesity M (2018) Long-term sustainability of glycaemic achievements with second-line antidiabetic therapies in patients with type 2 diabetes: a real-world study. Diabetes Obes Metab 20(7):1722–1731
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1. Combining data discretization and missing value imputation for incomplete medical datasets;PLOS ONE;2023-11-30
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