Interval censoring occurs when the exact time of an event, such as failure or death, is not known, but it is known to fall within a specific interval. This type of censoring can arise in survival analysis and clinical studies where observations are made at discrete time points, making it impossible to pinpoint the exact occurrence of an event. Understanding interval censoring is crucial for accurately analyzing data and drawing valid conclusions about the timing and frequency of events.
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