What are the different types of missing data I should be aware of?
There are three main types of missing data: Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR).
Can you explain what Missing Completely at Random means?
Sure! MCAR occurs when the missingness of data is entirely random and unrelated to any observed or unobserved data.
What about Missing at Random?
MAR means that the missingness is related to the observed data but not the missing data itself. For example, if older participants are less likely to answer a survey question.
And what does Missing Not at Random imply?
MNAR indicates that the missingness is related to the missing data itself. For instance, people with higher incomes might not report their income.
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