In the context of Pediatrics, Missing Not At Random (MNAR) refers to a scenario where the probability of missing data on a variable is related to the unobserved value itself, or other unobserved data. This is a crucial concept in research studies and clinical trials involving children, as it can significantly impact the validity and reliability of the findings.