MNAR complicates statistical analysis because traditional methods like mean imputation or listwise deletion assume that data is missing completely at random (MCAR) or missing at random (MAR). In the case of MNAR, these methods can lead to biased estimates. Advanced techniques such as multiple imputation and model-based approaches are often required to handle MNAR effectively.
