What Are Some Strategies to Handle Incomplete Datasets?
Epidemiologists employ various strategies to manage incomplete datasets:
Imputation: This involves replacing missing values with substituted values based on available data. Sensitivity Analysis: Conducting analyses under different assumptions about the missing data helps understand the potential impact on results. Weighting: Assigning weights to observed data to compensate for the missing data can help reduce bias. Multiple Imputation: Generating multiple datasets by imputing missing values and then combining results to get a more accurate estimate.
