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  "body": "\n## Summary\n\nCensoring is the situation in which the value of a measurement is only partly known.\nOne learns that it lies in some interval, but not its exact value.\nThe most common case is right censoring of event times, where one only knows that the event had not happened by the end of follow-up.\nIgnoring censored observations, or treating them as exact, biases the estimates.\nMethods of [[survival analysis|443ZWDX88P]], such as the [[Kaplan–Meier estimator|B7AJ8RWZRC]], are built to use censored data correctly.\n\n## Explanations\n\n### L1 human\n\nA study of how long marriages last runs for ten years.\nFor couples still married at the end, we do not know the length of the marriage, only that it is more than their time in the study.\nSuch a record is censored on the right.\nIf a scale only reads up to $150$ kg, a reading of \"over $150$\" is censored in the same way.\nIf an infection is only detected at a check-up, we know it happened between two visits: that is interval censoring.\n",
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