Dealing with missing data: Key assumptions and methods …
report their income, and then testing a difference in mean age. If we fail to reject the null hypothesis, then we can conclude that the MCAR is mostly fulfilled (there could still be some relationship between missingness of Y and the values of Y). b) Missing at random (MAR)-a weaker assumption than MCAR-: The probability of missing data on Y is
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