What Strategies Can Be Used to Address MNAR in Cancer Research?
Researchers can employ several strategies to address MNAR, including:
Multiple Imputation: This technique involves creating multiple datasets by estimating the missing values based on observed data, and then combining the results to produce a single, more robust analysis. Sensitivity Analysis: Conducting sensitivity analyses can help assess how the results might change under different assumptions about the missing data. Data Augmentation: This involves using additional data sources to fill in the missing values, such as electronic health records or registry data. Bayesian Methods: Bayesian approaches can incorporate prior knowledge about the missing data mechanism to improve estimates.
