How Does One Decide on the Best Approach to Handle Missing Data?
Choosing the best approach to handle missing data depends on the nature of the missing data (e.g., missing completely at random, missing at random, or missing not at random), the proportion of missing values, and the underlying research questions. A thorough understanding of the dataset, combined with statistical expertise, is essential to select the most appropriate method that minimizes bias and maximizes the validity of the results.
