Missing-data imputation
If missingness is not at random, it must be explicitly modeled, or else you must accept some bias in your inferences. 4. Missingness that depends on the missing value itself. Finally, a particularly dif-ficult situation arises when the probability of missingness depends on the (po-tentially missing) variable itself.
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