MNAR, or Missing Not At Random, refers to a type of missing data where the probability of a data point being missing is related to the unobserved data itself. In the context of cancer research, this is particularly challenging because the missingness can introduce bias, complicate analyses, and potentially lead to incorrect conclusions.
