A data-driven missing value imputation approach for longitudinal datasets
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DOI: 10.1007/s10462-021-09963-5
Abstract: Longitudinal datasets of human ageing studies usually have a high volume of missing data, and one way to handle missing values in a dataset is to replace them with estimations. However, there are many methods… read more here.
Keywords: imputation; driven missing; missing value; data driven ... See more keywords