Concept
The missing data mechanism refers to the process that leads to the absence of data in a dataset and is crucial for determining the appropriate method for handling missing data. Understanding whether data is missing completely at random (MCAR), missing at random (MAR), or missing not at random (MNAR) helps in selecting statistical techniques to minimize bias and improve the validity of analyses.
Relevant Fields:
3