👉 In statistics, a term that can be defined as "overcensored" is when data are not observed or recorded at the time of observation. The term originates from the concept of censoring in medical research, where patients who do not undergo treatment are marked as having died and therefore not included in the study's database. Overcensorship means that a dataset has been intentionally excluded or deliberately omitted, either because it is not relevant to the research question being studied or because it was intentionally suppressed.
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