Which type of missing data could potentially introduce the most bias into an analysis if not properly addressed?
- All can introduce equal bias
- MAR
- MCAR
- NMAR
NMAR could potentially introduce the most bias into an analysis if not properly addressed because the missingness is related to the value of the missing data itself. Handling this missingness is the most challenging.
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