Missing data should be handled differently for prediction than for description or causal explanation.
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DOI: 10.1016/j.jclinepi.2020.03.028
Abstract: Missing data is much studied in epidemiology and statistics. Theoretical development and application of methods for handling missing data have mostly been conducted in the context of prospective research data, and with a goal of… read more here.
Keywords: description causal; missing data; epidemiology; causal explanation ... See more keywords