Why is listwise deletion not recommended when the data missingness is systematic or 'not at random'?
- It can cause overfitting
- It can introduce bias
- It can introduce random noise
- It can lead to underfitting
Listwise deletion is not recommended when the data missingness is systematic or 'not at random' because it can introduce bias. If missing values are related to any underlying unobservable phenomena, listwise deletion might result in biased or misleading results by excluding certain types of observations.
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