You have applied mean imputation to a dataset where values are missing not at random. What kind of bias might you have unintentionally introduced, and why?
- Confirmation bias
- Overfitting bias
- Selection bias
- Underfitting bias
If you have applied mean imputation to a dataset where values are missing not at random, you might have unintentionally introduced selection bias. This is because mean imputation could lead to an underestimation of the variability in the data and potentially introduce a systematic bias, as it doesn't consider the reasons behind the missingness.
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